Update requirements.txt
Browse files- requirements.txt +11 -780
requirements.txt
CHANGED
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alembic==1.9.4
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13 |
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altair==4.2.2
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14 |
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annoy==1.17.1
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15 |
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ansiwrap==0.8.4
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anyio @ file:///home/conda/feedstock_root/build_artifacts/anyio_1666191106763/work/dist
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17 |
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apache-beam==2.44.0
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aplus==0.11.0
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appdirs==1.4.4
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argon2-cffi @ file:///home/conda/feedstock_root/build_artifacts/argon2-cffi_1640817743617/work
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argon2-cffi-bindings @ file:///home/conda/feedstock_root/build_artifacts/argon2-cffi-bindings_1649500320262/work
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arrow==1.2.3
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arviz==0.12.1
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astroid==2.14.2
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astropy==4.3.1
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astunparse==1.6.3
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async-timeout @ file:///home/conda/feedstock_root/build_artifacts/async-timeout_1640026696943/work
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asynctest==0.13.0
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atpublic==2.3
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attrs @ file:///home/conda/feedstock_root/build_artifacts/attrs_1671632566681/work
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audioread==3.0.0
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autocfg==0.0.8
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autopep8==1.6.0
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34 |
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aws-requests-auth==0.4.3
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35 |
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Babel==2.11.0
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36 |
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backcall @ file:///home/conda/feedstock_root/build_artifacts/backcall_1592338393461/work
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backoff==1.10.0
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backports.functools-lru-cache @ file:///home/conda/feedstock_root/build_artifacts/backports.functools_lru_cache_1618230623929/work
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backports.zoneinfo==0.2.1
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bayesian-optimization==1.4.2
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bayespy==0.5.25
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beatrix-jupyterlab @ file:///home/kbuilder/miniconda3/conda-bld/dlenv-tf-2-11-cpu_1674530713176/work/beatrix_jupyterlab-2023.123.173907.tar.gz
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beautifulsoup4 @ file:///home/conda/feedstock_root/build_artifacts/beautifulsoup4_1649463573192/work
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bidict==0.22.1
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biopython==1.81
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blake3==0.2.1
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bleach==6.0.0
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blessed==1.19.1
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blis==0.7.9
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bokeh==2.4.3
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Boruta==0.3
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boto3==1.26.77
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botocore==1.27.59
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54 |
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-e git+https://github.com/SohierDane/BigQuery_Helper@8615a7f6c1663e7f2d48aa2b32c2dbcb600a440f#egg=bq_helper
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bqplot==0.12.36
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branca==0.6.0
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brewer2mpl==1.4.1
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brotlipy==0.7.0
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cached-property==1.5.2
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cachetools==4.2.4
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61 |
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Cartopy @ file:///home/conda/feedstock_root/build_artifacts/cartopy_1630680835556/work
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catalogue==2.0.8
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catalyst==22.4
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catboost==1.1.1
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category-encoders==2.6.0
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certifi==2022.12.7
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cesium==0.10.1
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cffi @ file:///home/conda/feedstock_root/build_artifacts/cffi_1666183775483/work
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cftime==1.6.2
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charset-normalizer @ file:///home/conda/feedstock_root/build_artifacts/charset-normalizer_1661170624537/work
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chex==0.1.5
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cleverhans==4.0.0
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click==8.1.3
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click-plugins==1.1.1
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cligj==0.7.2
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cloud-tpu-client==0.10
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cloud-tpu-profiler==2.4.0
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cloudpickle==2.2.1
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cmaes==0.9.1
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cmake==3.25.0
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cmdstanpy==1.1.0
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cmudict==1.0.13
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colorama==0.4.6
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colorcet==3.0.1
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colorful==0.5.5
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colorlog==6.7.0
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colorlover==0.3.0
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88 |
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conda==22.9.0
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89 |
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conda-content-trust @ file:///tmp/build/80754af9/conda-content-trust_1617045594566/work
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90 |
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conda-package-handling @ file:///home/conda/feedstock_root/build_artifacts/conda-package-handling_1669907009957/work
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91 |
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conda_package_streaming @ file:///home/conda/feedstock_root/build_artifacts/conda-package-streaming_1669733752472/work
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confection==0.0.4
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contextily==1.3.0
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convertdate==2.4.0
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crcmod==1.7
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cryptography @ file:///home/conda/feedstock_root/build_artifacts/cryptography_1666563349571/work
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cufflinks==0.17.3
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CVXcanon==0.1.2
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cycler @ file:///home/conda/feedstock_root/build_artifacts/cycler_1635519461629/work
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cymem==2.0.7
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cysignals==1.11.2
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Cython==0.29.33
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cytoolz==0.12.1
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daal==2021.6.0
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daal4py==2021.6.3
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dask==2022.2.0
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datasets==2.1.0
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datashader==0.14.4
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datashape==0.5.2
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datatable==1.0.0
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datatile==1.0.3
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db-dtypes==1.0.5
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deap==1.3.3
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debugpy==1.6.6
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decorator @ file:///home/conda/feedstock_root/build_artifacts/decorator_1641555617451/work
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defusedxml @ file:///home/conda/feedstock_root/build_artifacts/defusedxml_1615232257335/work
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Delorean==1.0.0
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deprecat==2.1.1
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deprecation==2.1.0
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descartes==1.1.0
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dill==0.3.6
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dipy==1.6.0
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distlib==0.3.6
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distributed==2022.2.0
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dm-tree==0.1.8
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docker==6.0.1
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docker-pycreds==0.4.0
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docopt==0.6.2
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docstring-to-markdown==0.11
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docutils==0.19
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earthengine-api==0.1.342
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easydict==1.10
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easyocr==1.6.2
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ecos==2.0.12
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eli5==0.13.0
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emoji==2.2.0
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137 |
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en-core-web-lg @ https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-3.5.0/en_core_web_lg-3.5.0-py3-none-any.whl
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en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0-py3-none-any.whl
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139 |
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entrypoints @ file:///home/conda/feedstock_root/build_artifacts/entrypoints_1643888246732/work
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ephem==4.1.4
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esda==2.4.3
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essentia==2.1b6.dev858
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et-xmlfile==1.1.0
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etils==0.9.0
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exceptiongroup==1.1.0
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explainable-ai-sdk==1.3.3
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explainers @ https://storage.googleapis.com/explainability_sdk_wheel/explainers-1-cp37-cp37m-linux_x86_64.whl
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fastai==2.7.11
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fastapi==0.89.1
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fastavro==1.7.0
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fastcore==1.5.28
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fastdownload==0.0.7
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fasteners==0.18
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fastjsonschema @ file:///home/conda/feedstock_root/build_artifacts/python-fastjsonschema_1663619548554/work/dist
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155 |
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fastprogress==1.0.3
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fasttext==0.9.2
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157 |
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fbpca==1.0
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feather-format==0.4.1
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featuretools==1.11.1
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filelock==3.9.0
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Fiona==1.8.22
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fitter==1.5.2
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flake8==5.0.4
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flashtext==2.7
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Flask==2.2.3
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flatbuffers==23.1.21
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flax==0.6.4
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flit_core @ file:///home/conda/feedstock_root/build_artifacts/flit-core_1667734568827/work/source/flit_core
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folium==0.14.0
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fonttools @ file:///home/conda/feedstock_root/build_artifacts/fonttools_1666389892786/work
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171 |
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frozendict==2.3.5
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frozenlist==1.3.3
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fsspec==2023.1.0
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funcy==1.18
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fury==0.8.0
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future==0.18.3
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177 |
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fuzzywuzzy==0.18.0
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178 |
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gast==0.4.0
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179 |
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gatspy==0.3
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180 |
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gcsfs==2023.1.0
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gensim==4.0.1
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182 |
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geographiclib==2.0
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183 |
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Geohash==1.0
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184 |
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geojson==3.0.1
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185 |
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geopandas==0.10.2
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186 |
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geoplot==0.5.1
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187 |
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geopy==2.3.0
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188 |
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geoviews==1.9.6
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ggplot @ https://github.com/hbasria/ggpy/archive/0.11.5.zip
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190 |
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giddy==2.3.3
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191 |
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gitdb==4.0.10
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192 |
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GitPython==3.1.30
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193 |
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gluoncv==0.10.5.post0
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194 |
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gluonnlp==0.10.0
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195 |
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google-api-core==1.34.0
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google-api-python-client==2.79.0
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197 |
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google-apitools==0.5.31
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google-auth==1.35.0
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199 |
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google-auth-httplib2==0.1.0
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200 |
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google-auth-oauthlib==0.4.6
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201 |
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google-cloud-aiplatform @ git+https://github.com/googleapis/python-aiplatform.git@4ed7a50fef58d694ddb29d4240965d44e383da2b
|
202 |
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google-cloud-automl==1.0.1
|
203 |
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google-cloud-bigquery==2.2.0
|
204 |
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google-cloud-bigtable==1.7.3
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205 |
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google-cloud-core==1.7.3
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206 |
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google-cloud-datastore==1.15.5
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207 |
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google-cloud-dlp==3.11.1
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208 |
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google-cloud-language==2.6.1
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209 |
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google-cloud-monitoring==2.14.1
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google-cloud-pubsub==2.14.0
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211 |
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google-cloud-pubsublite==1.6.0
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212 |
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google-cloud-recommendations-ai==0.7.1
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google-cloud-resource-manager==1.8.1
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214 |
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google-cloud-spanner==3.27.0
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google-cloud-storage==1.44.0
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google-cloud-translate==3.8.4
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217 |
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google-cloud-videointelligence==2.8.3
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218 |
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google-cloud-vision==2.8.0
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google-crc32c==1.5.0
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google-pasta==0.2.0
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221 |
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google-resumable-media==1.3.3
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222 |
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googleapis-common-protos==1.58.0
|
223 |
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gplearn==0.4.2
|
224 |
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gpustat==1.0.0
|
225 |
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gpxpy==1.5.0
|
226 |
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graphviz==0.8.4
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227 |
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greenlet==2.0.1
|
228 |
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grpc-google-iam-v1==0.12.6
|
229 |
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grpcio==1.51.1
|
230 |
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grpcio-status==1.48.2
|
231 |
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gviz-api==1.10.0
|
232 |
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gym==0.23.1
|
233 |
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gym-notices==0.0.8
|
234 |
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h11==0.14.0
|
235 |
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h2o==3.40.0.1
|
236 |
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h5py==3.8.0
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237 |
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haversine==2.7.0
|
238 |
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hdfs==2.7.0
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239 |
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HeapDict==1.0.1
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240 |
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hep-ml==0.7.1
|
241 |
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hijri-converter==2.2.4
|
242 |
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hmmlearn==0.2.8
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243 |
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holidays==0.19
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244 |
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holoviews==1.15.4
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245 |
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hpsklearn==0.1.0
|
246 |
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html5lib==1.1
|
247 |
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htmlmin==0.1.12
|
248 |
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httplib2==0.20.4
|
249 |
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httptools==0.5.0
|
250 |
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huggingface-hub==0.12.1
|
251 |
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humanize==4.6.0
|
252 |
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hunspell==0.5.5
|
253 |
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husl==4.0.3
|
254 |
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hydra-slayer==0.4.0
|
255 |
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hyperopt==0.2.7
|
256 |
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hypertools==0.8.0
|
257 |
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ibis-framework==2.1.1
|
258 |
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idna @ file:///home/conda/feedstock_root/build_artifacts/idna_1663625384323/work
|
259 |
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igraph==0.10.4
|
260 |
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imagecodecs==2021.11.20
|
261 |
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ImageHash==4.3.1
|
262 |
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imageio==2.25.0
|
263 |
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imbalanced-learn==0.10.1
|
264 |
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imgaug==0.4.0
|
265 |
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implicit @ file:///home/conda/feedstock_root/build_artifacts/implicit_1643471602441/work
|
266 |
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importlib-metadata @ file:///home/conda/feedstock_root/build_artifacts/importlib-metadata_1653252814274/work
|
267 |
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importlib-resources @ file:///home/conda/feedstock_root/build_artifacts/importlib_resources_1672681417544/work
|
268 |
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inequality==1.0.0
|
269 |
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iniconfig==2.0.0
|
270 |
-
ipydatawidgets==4.3.3
|
271 |
-
ipykernel @ file:///home/conda/feedstock_root/build_artifacts/ipykernel_1666723258080/work
|
272 |
-
ipyleaflet==0.17.2
|
273 |
-
ipympl==0.7.0
|
274 |
-
ipython==7.34.0
|
275 |
-
ipython-genutils==0.2.0
|
276 |
-
ipython-sql==0.4.1
|
277 |
-
ipyvolume==0.6.0
|
278 |
-
ipyvue==1.8.0
|
279 |
-
ipyvuetify==1.8.4
|
280 |
-
ipywebrtc==0.6.0
|
281 |
-
ipywidgets==7.7.1
|
282 |
-
isort==5.11.5
|
283 |
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isoweek==1.3.3
|
284 |
-
itsdangerous==2.1.2
|
285 |
-
Janome==0.4.2
|
286 |
-
jax==0.3.25
|
287 |
-
jaxlib==0.3.25
|
288 |
-
jedi @ file:///home/conda/feedstock_root/build_artifacts/jedi_1669134318875/work
|
289 |
-
jieba==0.42.1
|
290 |
-
Jinja2 @ file:///home/conda/feedstock_root/build_artifacts/jinja2_1654302431367/work
|
291 |
-
jmespath==1.0.1
|
292 |
-
joblib==1.2.0
|
293 |
-
json5==0.9.11
|
294 |
-
jsonlines==1.2.0
|
295 |
-
jsonschema @ file:///home/conda/feedstock_root/build_artifacts/jsonschema-meta_1669810440410/work
|
296 |
-
jupyter-console==6.6.1
|
297 |
-
jupyter-http-over-ws==0.0.8
|
298 |
-
jupyter-lsp==1.5.1
|
299 |
-
jupyter-server==1.23.5
|
300 |
-
jupyter-server-mathjax==0.2.6
|
301 |
-
jupyter-server-proxy==3.2.2
|
302 |
-
jupyter_client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1673615989977/work
|
303 |
-
jupyter_core==4.12.0
|
304 |
-
jupyterlab==3.4.8
|
305 |
-
jupyterlab-git==0.41.0
|
306 |
-
jupyterlab-lsp==3.10.2
|
307 |
-
jupyterlab-pygments @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_pygments_1649936611996/work
|
308 |
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jupyterlab-widgets==3.0.5
|
309 |
-
jupyterlab_server==2.15.2
|
310 |
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jupytext==1.14.4
|
311 |
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kaggle==1.5.12
|
312 |
-
kaggle-environments==1.12.0
|
313 |
-
keras==2.11.0
|
314 |
-
keras-tuner==1.1.3
|
315 |
-
kiwisolver @ file:///home/conda/feedstock_root/build_artifacts/kiwisolver_1657953088445/work
|
316 |
-
kmapper==2.0.1
|
317 |
-
kmodes==0.12.2
|
318 |
-
korean-lunar-calendar==0.3.1
|
319 |
-
kornia==0.5.8
|
320 |
-
kt-legacy==1.0.4
|
321 |
-
kubernetes==25.3.0
|
322 |
-
langcodes==3.3.0
|
323 |
-
langid==1.1.6
|
324 |
-
lazy-object-proxy==1.9.0
|
325 |
-
lazy_loader==0.1
|
326 |
-
learntools @ git+https://github.com/Kaggle/learntools@dd9a7f6495abbba9c7987c16365c8785fb646125
|
327 |
-
leven==1.0.4
|
328 |
-
Levenshtein==0.20.9
|
329 |
-
libclang==15.0.6.1
|
330 |
-
libmambapy @ file:///home/conda/feedstock_root/build_artifacts/mamba-split_1664905016189/work/libmambapy
|
331 |
-
libpysal==4.7.0
|
332 |
-
librosa==0.10.0
|
333 |
-
lightfm==1.16
|
334 |
-
lightgbm==3.3.2
|
335 |
-
lightning-utilities==0.7.1
|
336 |
-
lime==0.2.0.1
|
337 |
-
line-profiler==4.0.2
|
338 |
-
llvmlite==0.39.1
|
339 |
-
lml==0.1.0
|
340 |
-
locket==1.0.0
|
341 |
-
LunarCalendar==0.0.9
|
342 |
-
lxml==4.9.2
|
343 |
-
lz4==4.3.2
|
344 |
-
Mako==1.2.4
|
345 |
-
mamba @ file:///home/conda/feedstock_root/build_artifacts/mamba-split_1664905016189/work/mamba
|
346 |
-
mapclassify==2.5.0
|
347 |
-
marisa-trie==0.7.8
|
348 |
-
Markdown==3.4.1
|
349 |
-
markdown-it-py==2.1.0
|
350 |
-
markovify==0.9.4
|
351 |
-
MarkupSafe @ file:///home/conda/feedstock_root/build_artifacts/markupsafe_1648737551960/work
|
352 |
-
matplotlib @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-suite_1661439848456/work
|
353 |
-
matplotlib-inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1660814786464/work
|
354 |
-
matplotlib-venn==0.11.7
|
355 |
-
matrixprofile @ git+https://github.com/matrix-profile-foundation/matrixprofile.git@6bea7d4445284dbd9700a097974ef6d4613fbca7
|
356 |
-
mccabe==0.7.0
|
357 |
-
mdit-py-plugins==0.3.3
|
358 |
-
mdurl==0.1.2
|
359 |
-
memory-profiler==0.61.0
|
360 |
-
mercantile==1.2.1
|
361 |
-
mgwr==2.1.2
|
362 |
-
missingno==0.5.1
|
363 |
-
mistune @ file:///home/conda/feedstock_root/build_artifacts/mistune_1657892024508/work
|
364 |
-
mizani==0.7.3
|
365 |
-
mlcrate==0.2.0
|
366 |
-
mlens==0.2.3
|
367 |
-
mlxtend==0.21.0
|
368 |
-
mmh3==3.0.0
|
369 |
-
mne==1.3.0
|
370 |
-
mnist==0.2.2
|
371 |
-
mock==5.0.1
|
372 |
-
momepy==0.5.4
|
373 |
-
mpld3==0.5.9
|
374 |
-
mpmath==1.2.1
|
375 |
-
msgpack==1.0.4
|
376 |
-
msgpack-numpy==0.4.8
|
377 |
-
multidict==6.0.4
|
378 |
-
multimethod==1.9.1
|
379 |
-
multipledispatch==0.6.0
|
380 |
-
multiprocess==0.70.14
|
381 |
-
munch==2.5.0
|
382 |
-
munkres==1.1.4
|
383 |
-
murmurhash==1.0.9
|
384 |
-
mxnet==1.9.1
|
385 |
-
nb-conda @ file:///home/conda/feedstock_root/build_artifacts/nb_conda_1654442778977/work
|
386 |
-
nb-conda-kernels @ file:///home/conda/feedstock_root/build_artifacts/nb_conda_kernels_1636999991206/work
|
387 |
-
nbclassic @ file:///home/conda/feedstock_root/build_artifacts/nbclassic_1667492839781/work
|
388 |
-
nbclient==0.7.2
|
389 |
-
nbconvert @ file:///home/conda/feedstock_root/build_artifacts/nbconvert-meta_1673893169158/work
|
390 |
-
nbdime==3.1.1
|
391 |
-
nbformat @ file:///home/conda/feedstock_root/build_artifacts/nbformat_1673560067442/work
|
392 |
-
nest-asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1664684991461/work
|
393 |
-
netCDF4==1.6.2
|
394 |
-
networkx==2.6.3
|
395 |
-
nibabel==4.0.2
|
396 |
-
nilearn==0.10.0
|
397 |
-
ninja==1.11.1
|
398 |
-
nltk==3.2.4
|
399 |
-
nose==1.3.7
|
400 |
-
notebook @ file:///home/conda/feedstock_root/build_artifacts/notebook_1667565639349/work
|
401 |
-
notebook-executor @ file:///home/kbuilder/miniconda3/conda-bld/dlenv-tf-2-11-cpu_1674530713176/work/packages/notebook_executor
|
402 |
-
notebook_shim @ file:///home/conda/feedstock_root/build_artifacts/notebook-shim_1667478401171/work
|
403 |
-
numba==0.56.4
|
404 |
-
numexpr==2.8.4
|
405 |
-
numpy @ file:///home/conda/feedstock_root/build_artifacts/numpy_1649806299270/work
|
406 |
-
nvidia-ml-py==11.495.46
|
407 |
-
oauth2client==4.1.3
|
408 |
-
oauthlib==3.2.2
|
409 |
-
objsize==0.6.1
|
410 |
-
odfpy==1.4.1
|
411 |
-
olefile==0.46
|
412 |
-
onnx==1.13.1
|
413 |
-
opencensus==0.11.1
|
414 |
-
opencensus-context==0.1.3
|
415 |
-
opencv-contrib-python==4.5.4.60
|
416 |
-
opencv-python==4.5.4.60
|
417 |
-
opencv-python-headless==4.5.4.60
|
418 |
-
openpyxl==3.1.1
|
419 |
-
openslide-python==1.2.0
|
420 |
-
opentelemetry-api==1.1.0
|
421 |
-
opentelemetry-exporter-otlp==1.1.0
|
422 |
-
opentelemetry-exporter-otlp-proto-grpc==1.1.0
|
423 |
-
opentelemetry-proto==1.1.0
|
424 |
-
opentelemetry-sdk==1.1.0
|
425 |
-
opentelemetry-semantic-conventions==0.20b0
|
426 |
-
opt-einsum==3.3.0
|
427 |
-
optax==0.1.4
|
428 |
-
optuna==3.1.0
|
429 |
-
orbax==0.1.0
|
430 |
-
orderedmultidict==1.0.1
|
431 |
-
orjson==3.8.5
|
432 |
-
ortools==9.4.1874
|
433 |
-
osmnx==1.1.1
|
434 |
-
overrides==6.5.0
|
435 |
-
packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1673482170163/work
|
436 |
-
palettable==3.3.0
|
437 |
-
pandarallel==1.6.4
|
438 |
-
pandas==1.3.5
|
439 |
-
pandas-datareader==0.10.0
|
440 |
-
pandas-profiling==3.6.2
|
441 |
-
pandas-summary==0.2.0
|
442 |
-
pandasql==0.7.3
|
443 |
-
pandocfilters @ file:///home/conda/feedstock_root/build_artifacts/pandocfilters_1631603243851/work
|
444 |
-
panel==0.14.3
|
445 |
-
papermill==2.4.0
|
446 |
-
param==1.12.3
|
447 |
-
parso @ file:///home/conda/feedstock_root/build_artifacts/parso_1638334955874/work
|
448 |
-
parsy==1.4.0
|
449 |
-
partd==1.3.0
|
450 |
-
path==16.6.0
|
451 |
-
path.py==12.5.0
|
452 |
-
pathos==0.3.0
|
453 |
-
pathtools==0.1.2
|
454 |
-
pathy==0.10.1
|
455 |
-
patsy==0.5.3
|
456 |
-
pdf2image==1.16.2
|
457 |
-
pexpect @ file:///home/conda/feedstock_root/build_artifacts/pexpect_1667297516076/work
|
458 |
-
phik==0.12.3
|
459 |
-
pickleshare @ file:///home/conda/feedstock_root/build_artifacts/pickleshare_1602536217715/work
|
460 |
-
Pillow==9.4.0
|
461 |
-
pkgutil_resolve_name @ file:///home/conda/feedstock_root/build_artifacts/pkgutil-resolve-name_1633981968097/work
|
462 |
-
platformdirs==2.6.2
|
463 |
-
plotly==5.13.0
|
464 |
-
plotly-express==0.4.1
|
465 |
-
plotnine==0.8.0
|
466 |
-
pluggy==1.0.0
|
467 |
-
pointpats==2.2.0
|
468 |
-
polars==0.16.8
|
469 |
-
polyglot==16.7.4
|
470 |
-
pooch==1.6.0
|
471 |
-
portalocker==2.7.0
|
472 |
-
pox==0.3.2
|
473 |
-
ppca==0.0.4
|
474 |
-
ppft==1.7.6.6
|
475 |
-
preprocessing==0.1.13
|
476 |
-
preshed==3.0.8
|
477 |
-
prettytable==0.7.2
|
478 |
-
progressbar2==4.2.0
|
479 |
-
prometheus-client @ file:///home/conda/feedstock_root/build_artifacts/prometheus_client_1665692535292/work
|
480 |
-
promise==2.3
|
481 |
-
prompt-toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1670414775770/work
|
482 |
-
pronouncing==0.2.0
|
483 |
-
prophet==1.1.1
|
484 |
-
proto-plus==1.22.2
|
485 |
-
protobuf==3.20.3
|
486 |
-
psutil @ file:///home/conda/feedstock_root/build_artifacts/psutil_1666155398032/work
|
487 |
-
ptyprocess @ file:///home/conda/feedstock_root/build_artifacts/ptyprocess_1609419310487/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
|
488 |
-
pudb==2022.1.3
|
489 |
-
PuLP==2.7.0
|
490 |
-
py-lz4framed==0.14.0
|
491 |
-
py-spy==0.3.14
|
492 |
-
py-stringmatching==0.4.2
|
493 |
-
py-stringsimjoin==0.3.2
|
494 |
-
py4j==0.10.9.7
|
495 |
-
pyaml==21.10.1
|
496 |
-
PyArabic==0.6.15
|
497 |
-
pyarrow==6.0.1
|
498 |
-
pyasn1==0.4.8
|
499 |
-
pyasn1-modules==0.2.8
|
500 |
-
PyAstronomy==0.18.1
|
501 |
-
pybind11==2.10.3
|
502 |
-
pyclipper==1.3.0.post4
|
503 |
-
pycodestyle==2.9.1
|
504 |
-
pycolmap==0.3.0
|
505 |
-
pycosat @ file:///home/conda/feedstock_root/build_artifacts/pycosat_1666656960991/work
|
506 |
-
pycparser @ file:///tmp/build/80754af9/pycparser_1636541352034/work
|
507 |
-
pycryptodome==3.17
|
508 |
-
pyct==0.5.0
|
509 |
-
pydantic==1.10.4
|
510 |
-
pydegensac==0.1.2
|
511 |
-
pydicom==2.3.1
|
512 |
-
pydocstyle==6.2.3
|
513 |
-
pydot==1.4.2
|
514 |
-
pydub==0.25.1
|
515 |
-
pyemd==0.5.1
|
516 |
-
pyerfa==2.0.0.1
|
517 |
-
pyexcel-io==0.6.6
|
518 |
-
pyexcel-ods==0.6.0
|
519 |
-
pyfasttext==0.4.6
|
520 |
-
pyflakes==2.5.0
|
521 |
-
pygeos==0.14
|
522 |
-
Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1672682006896/work
|
523 |
-
PyJWT==2.6.0
|
524 |
-
pykalman==0.9.5
|
525 |
-
pyLDAvis==3.2.2
|
526 |
-
pylint==2.16.2
|
527 |
-
pymc3==3.11.5
|
528 |
-
PyMeeus==0.5.12
|
529 |
-
pymongo==3.13.0
|
530 |
-
Pympler==1.0.1
|
531 |
-
pynndescent==0.5.8
|
532 |
-
pyocr==0.8.3
|
533 |
-
pyOpenSSL @ file:///home/conda/feedstock_root/build_artifacts/pyopenssl_1672659226110/work
|
534 |
-
pyparsing @ file:///home/conda/feedstock_root/build_artifacts/pyparsing_1652235407899/work
|
535 |
-
pypdf==3.4.1
|
536 |
-
PyPrind==2.11.3
|
537 |
-
pyproj @ file:///home/conda/feedstock_root/build_artifacts/pyproj_1623801868210/work
|
538 |
-
pyrsistent==0.19.3
|
539 |
-
pysal==2.6.0
|
540 |
-
pyshp @ file:///home/conda/feedstock_root/build_artifacts/pyshp_1659002966020/work
|
541 |
-
PySocks @ file:///tmp/build/80754af9/pysocks_1594394576006/work
|
542 |
-
pytesseract==0.3.10
|
543 |
-
pytest==7.2.1
|
544 |
-
python-bidi==0.4.2
|
545 |
-
python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1626286286081/work
|
546 |
-
python-dotenv==0.21.1
|
547 |
-
python-igraph==0.10.4
|
548 |
-
python-Levenshtein==0.20.9
|
549 |
-
python-louvain==0.16
|
550 |
-
python-lsp-jsonrpc==1.0.0
|
551 |
-
python-lsp-server==1.7.1
|
552 |
-
python-slugify==8.0.0
|
553 |
-
python-utils==3.5.2
|
554 |
-
pythreejs==2.4.2
|
555 |
-
pytoolconfig==1.2.5
|
556 |
-
pytorch-ignite==0.4.11
|
557 |
-
pytorch-lightning==1.9.3
|
558 |
-
pytz==2022.7.1
|
559 |
-
pytz-deprecation-shim==0.1.0.post0
|
560 |
-
pyu2f @ file:///home/conda/feedstock_root/build_artifacts/pyu2f_1604248910016/work
|
561 |
-
PyUpSet==0.1.1.post7
|
562 |
-
pyviz-comms==2.2.1
|
563 |
-
PyWavelets==1.3.0
|
564 |
-
PyYAML==6.0
|
565 |
-
pyzmq==25.0.0
|
566 |
-
qgrid==1.3.1
|
567 |
-
qtconsole==5.4.0
|
568 |
-
QtPy==2.3.0
|
569 |
-
quantecon==0.6.0
|
570 |
-
quantities==0.13.0
|
571 |
-
qudida==0.0.4
|
572 |
-
quilt3==5.1.1
|
573 |
-
randomgen==1.23.1
|
574 |
-
rapidfuzz==2.13.7
|
575 |
-
rasterio==1.2.10
|
576 |
-
rasterstats==0.18.0
|
577 |
-
ray==2.2.0
|
578 |
-
ray-cpp==2.2.0
|
579 |
-
regex==2021.11.10
|
580 |
-
requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1673863902341/work
|
581 |
-
requests-futures==1.0.0
|
582 |
-
requests-oauthlib==1.3.1
|
583 |
-
responses==0.18.0
|
584 |
-
retrying==1.3.4
|
585 |
-
rgf-python==3.12.0
|
586 |
-
rich==13.2.0
|
587 |
-
rope==1.7.0
|
588 |
-
rsa @ file:///home/conda/feedstock_root/build_artifacts/rsa_1658328885051/work
|
589 |
-
Rtree==1.0.1
|
590 |
-
ruamel-yaml-conda @ file:///tmp/build/80754af9/ruamel_yaml_1616016701961/work
|
591 |
-
rvlib==0.0.6
|
592 |
-
s2sphere==0.2.5
|
593 |
-
s3fs==2023.1.0
|
594 |
-
s3transfer==0.6.0
|
595 |
-
scattertext==0.1.12
|
596 |
-
scikit-image==0.19.3
|
597 |
-
scikit-learn==1.0.2
|
598 |
-
scikit-learn-intelex==2021.6.3
|
599 |
-
scikit-multilearn==0.2.0
|
600 |
-
scikit-optimize==0.9.0
|
601 |
-
scikit-plot==0.3.7
|
602 |
-
scikit-surprise==1.1.1
|
603 |
-
scipy @ file:///home/conda/feedstock_root/build_artifacts/scipy_1637806658031/work
|
604 |
-
seaborn==0.12.2
|
605 |
-
segregation==2.3.1
|
606 |
-
semver==2.13.0
|
607 |
-
Send2Trash @ file:///home/conda/feedstock_root/build_artifacts/send2trash_1628511208346/work
|
608 |
-
sentencepiece==0.1.97
|
609 |
-
sentry-sdk==1.15.0
|
610 |
-
setproctitle==1.3.2
|
611 |
-
setuptools-git==1.2
|
612 |
-
shap==0.41.0
|
613 |
-
Shapely @ file:///home/conda/feedstock_root/build_artifacts/shapely_1635194349843/work
|
614 |
-
simpervisor==0.4
|
615 |
-
SimpleITK==2.2.1
|
616 |
-
simplejson==3.18.3
|
617 |
-
six @ file:///tmp/build/80754af9/six_1644875935023/work
|
618 |
-
sklearn-contrib-py-earth @ git+https://github.com/scikit-learn-contrib/py-earth.git@dde5f899255411a7b9cbbabf93a817eff4b02e5e
|
619 |
-
sklearn-pandas==2.2.0
|
620 |
-
slicer==0.0.7
|
621 |
-
smart-open==6.3.0
|
622 |
-
smhasher==0.150.1
|
623 |
-
smmap==5.0.0
|
624 |
-
sniffio @ file:///home/conda/feedstock_root/build_artifacts/sniffio_1662051266223/work
|
625 |
-
snowballstemmer==2.2.0
|
626 |
-
snuggs==1.4.7
|
627 |
-
sortedcontainers==2.4.0
|
628 |
-
soundfile==0.11.0
|
629 |
-
soupsieve @ file:///home/conda/feedstock_root/build_artifacts/soupsieve_1658207591808/work
|
630 |
-
soxr==0.3.3
|
631 |
-
spacy==3.5.0
|
632 |
-
spacy-legacy==3.0.12
|
633 |
-
spacy-loggers==1.0.4
|
634 |
-
spaghetti==1.6.5
|
635 |
-
spectral==0.23.1
|
636 |
-
spglm==1.0.8
|
637 |
-
sphinx-rtd-theme==0.2.4
|
638 |
-
spint==1.0.7
|
639 |
-
splot==1.1.5.post1
|
640 |
-
spopt==0.4.1
|
641 |
-
spreg==1.3.0
|
642 |
-
spvcm==0.3.0
|
643 |
-
SQLAlchemy==1.4.46
|
644 |
-
sqlparse==0.4.3
|
645 |
-
squarify==0.4.3
|
646 |
-
srsly==2.4.5
|
647 |
-
starlette==0.22.0
|
648 |
-
statsmodels==0.13.5
|
649 |
-
stemming==1.0.1
|
650 |
-
stop-words==2018.7.23
|
651 |
-
stopit==1.1.2
|
652 |
-
stumpy==1.11.1
|
653 |
-
sympy==1.10.1
|
654 |
-
tables==3.7.0
|
655 |
-
tabulate==0.9.0
|
656 |
-
tangled-up-in-unicode==0.2.0
|
657 |
-
tbb==2021.8.0
|
658 |
-
tblib==1.7.0
|
659 |
-
tenacity==8.1.0
|
660 |
-
tensorboard==2.11.2
|
661 |
-
tensorboard-data-server==0.6.1
|
662 |
-
tensorboard-plugin-profile==2.11.1
|
663 |
-
tensorboard-plugin-wit==1.8.1
|
664 |
-
tensorboardX==2.5.1
|
665 |
-
tensorflow==2.11.0
|
666 |
-
tensorflow-addons==0.19.0
|
667 |
-
tensorflow-cloud==0.1.16
|
668 |
-
tensorflow-datasets==4.8.2
|
669 |
-
tensorflow-decision-forests==1.2.0
|
670 |
-
tensorflow-estimator==2.11.0
|
671 |
-
tensorflow-gcs-config==2.11.0
|
672 |
-
tensorflow-hub==0.12.0
|
673 |
-
tensorflow-io==0.29.0
|
674 |
-
tensorflow-io-gcs-filesystem==0.29.0
|
675 |
-
tensorflow-metadata==1.12.0
|
676 |
-
tensorflow-probability==0.19.0
|
677 |
-
tensorflow-serving-api==2.11.0
|
678 |
-
tensorflow-text==2.11.0
|
679 |
-
tensorflow-transform==1.12.0
|
680 |
-
tensorpack==0.11
|
681 |
-
tensorstore==0.1.28
|
682 |
-
termcolor==2.2.0
|
683 |
-
terminado @ file:///home/conda/feedstock_root/build_artifacts/terminado_1670253674810/work
|
684 |
-
text-unidecode==1.3
|
685 |
-
textblob==0.17.1
|
686 |
-
texttable==1.6.7
|
687 |
-
textwrap3==0.9.2
|
688 |
-
tflite-runtime==2.11.0
|
689 |
-
tfx-bsl==1.12.0
|
690 |
-
Theano==1.0.5
|
691 |
-
Theano-PyMC==1.1.2
|
692 |
-
thinc==8.1.7
|
693 |
-
threadpoolctl==3.1.0
|
694 |
-
tifffile==2021.11.2
|
695 |
-
timm==0.6.12
|
696 |
-
tinycss2 @ file:///home/conda/feedstock_root/build_artifacts/tinycss2_1666100256010/work
|
697 |
-
tobler==0.9.0
|
698 |
-
tokenizers==0.13.2
|
699 |
-
toml==0.10.2
|
700 |
-
tomli==2.0.1
|
701 |
-
tomlkit==0.11.6
|
702 |
-
toolz==0.11.2
|
703 |
-
torch==1.13.0+cpu
|
704 |
-
torchaudio==0.13.0+cpu
|
705 |
-
torchinfo==1.7.2
|
706 |
-
torchmetrics==0.11.1
|
707 |
-
torchtext==0.14.0
|
708 |
-
torchvision==0.14.0+cpu
|
709 |
-
tornado @ file:///home/conda/feedstock_root/build_artifacts/tornado_1656937818679/work
|
710 |
-
TPOT==0.11.7
|
711 |
-
tqdm==4.64.1
|
712 |
-
traceml==1.0.8
|
713 |
-
traitlets @ file:///home/conda/feedstock_root/build_artifacts/traitlets_1673359992537/work
|
714 |
-
traittypes==0.2.1
|
715 |
-
transformers==4.26.1
|
716 |
-
trueskill==0.4.5
|
717 |
-
tsfresh==0.20.0
|
718 |
-
typed-ast==1.5.4
|
719 |
-
typeguard==2.13.3
|
720 |
-
typer==0.7.0
|
721 |
-
typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1665144421445/work
|
722 |
-
tzdata==2022.7
|
723 |
-
tzlocal==4.2
|
724 |
-
ujson==5.7.0
|
725 |
-
umap-learn==0.5.3
|
726 |
-
unicodedata2 @ file:///home/conda/feedstock_root/build_artifacts/unicodedata2_1649111917568/work
|
727 |
-
Unidecode==1.3.6
|
728 |
-
update-checker==0.18.0
|
729 |
-
uritemplate==3.0.1
|
730 |
-
urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1673452138552/work
|
731 |
-
urwid==2.1.2
|
732 |
-
urwid-readline==0.13
|
733 |
-
uvicorn==0.20.0
|
734 |
-
uvloop==0.17.0
|
735 |
-
vaex==4.16.0
|
736 |
-
vaex-astro==0.9.3
|
737 |
-
vaex-core==4.16.1
|
738 |
-
vaex-hdf5==0.14.1
|
739 |
-
vaex-jupyter==0.8.1
|
740 |
-
vaex-ml==0.18.1
|
741 |
-
vaex-server==0.8.1
|
742 |
-
vaex-viz==0.5.4
|
743 |
-
vecstack==0.4.0
|
744 |
-
virtualenv==20.17.1
|
745 |
-
visions==0.7.5
|
746 |
-
vowpalwabbit==9.7.0
|
747 |
-
vtk==9.2.6
|
748 |
-
Wand==0.6.11
|
749 |
-
wandb==0.13.10
|
750 |
-
wasabi==1.1.1
|
751 |
-
watchfiles==0.18.1
|
752 |
-
wavio==0.0.7
|
753 |
-
wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1673864653149/work
|
754 |
-
webencodings==0.5.1
|
755 |
-
websocket-client @ file:///home/conda/feedstock_root/build_artifacts/websocket-client_1667568040382/work
|
756 |
-
websockets==10.4
|
757 |
-
Werkzeug==2.2.3
|
758 |
-
wfdb==4.1.0
|
759 |
-
whatthepatch==1.0.4
|
760 |
-
widgetsnbextension==3.6.2
|
761 |
-
witwidget==1.8.1
|
762 |
-
woodwork==0.16.4
|
763 |
-
Wordbatch==1.4.9
|
764 |
-
wordcloud==1.8.2.2
|
765 |
-
wordsegment==1.3.1
|
766 |
-
wrapt==1.14.1
|
767 |
-
wurlitzer==3.0.3
|
768 |
-
xarray==0.20.2
|
769 |
-
xarray-einstats==0.2.2
|
770 |
-
xgboost==1.6.2
|
771 |
-
xvfbwrapper==0.2.9
|
772 |
-
xxhash==3.2.0
|
773 |
-
xyzservices==2023.2.0
|
774 |
-
yacs==0.1.8
|
775 |
-
yapf==0.32.0
|
776 |
-
yarl==1.8.2
|
777 |
-
yellowbrick==1.5
|
778 |
-
zict==2.2.0
|
779 |
-
zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1669453021653/work
|
780 |
-
zstandard @ file:///home/conda/feedstock_root/build_artifacts/zstandard_1655887611100/work
|
|
|
1 |
+
streamlit==1.21.0
|
2 |
+
streamlit-lottie==0.0.3
|
3 |
+
streamlit-webrtc==0.45.0
|
4 |
+
av
|
5 |
+
numpy
|
6 |
+
pandas
|
7 |
+
mediapipe
|
8 |
+
torch
|
9 |
+
tensorflow
|
10 |
+
opencv-contrib-python==4.7.0.72
|
11 |
+
opencv-python==4.7.0.68
|
|
|
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