<commit_before># process images into matrrices for Tensorflow
numpy==1.11.0
Pillow==3.1.1
jupyter==1.0.0

# download images from S3
boto3==1.3.0

GDAL==2.0.1
pyproj==1.9.5.1

# the recommended Tensorflow binary for python 3 on linux, CPU only
# https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.7.1-cp34-none-linux_x86_64.whl

# the recommended Tensorflow binary for python 2 on linux, GPU
http://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl

shapely

# trying this out for the cifar10 network
git+https://github.com/tflearn/tflearn.git<commit_msg>use latest linux TF in reqs<commit_after># process images into matrrices for Tensorflow
numpy==1.11.0
Pillow==3.1.1
jupyter==1.0.0

# download images from S3
boto3==1.3.0

GDAL==2.0.1
pyproj==1.9.5.1

# the recommended Tensorflow binary on linux, CPU only
https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl

# the recommended Tensorflow binary for python 2 on linux, GPU
# http://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl

shapely

# trying this out for the cifar10 network
git+https://github.com/tflearn/tflearn.git
{'fraction_non_alphanumeric': 0.12530915086562242, 'fraction_numerical': 0.0717230008244023, 'mean_word_length': 4.54337899543379, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 4, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 2, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 2, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '4845615', 'n_tokens_mistral': 496, 'n_tokens_neox': 465, 'n_words': 99}