# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
The mann project contains the Mode-Adaptive Neural Networks (MANN) architecture, originally proposed in 
> H. Zhang, S. Starke, T. Komura, and J. Saito,
> “Mode-adaptive neural networks for quadruped motion control,”
> ACM Trans. Graph., vol. 37, no. 4, pp. 1–11, 2018.
> 
## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Developed by:** [Paolo Viceconte](https://github.com/paolo-viceconte)
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** Mode-Adaptive Neural Networks
- **License:** BSD 3-Clause License

### Model nomenclature

The model stored in this repo has the following nomenclature `<robot_model>_<number_of_considered_joints>j_<number_of_epoch>e.onnx`
For instance `ergocubSN000_26j_49e.onnx` means that the model has been trained on `ergocubSN000` considering `26` joints and the number of epoch is `49`.

- **Repository:** https://github.com/ami-iit/mann-pytorch
 

{"language": ["en"], "license": "bsd"}
onnx en license:bsd region:us
TAGS
#onnx #en #license-bsd #region-us 

# Model Card for Model ID


The mann project contains the Mode-Adaptive Neural Networks (MANN) architecture, originally proposed in 
> H. Zhang, S. Starke, T. Komura, and J. Saito,
> “Mode-adaptive neural networks for quadruped motion control,”
> ACM Trans. Graph., vol. 37, no. 4, pp. 1–11, 2018.
> 
## Model Details

### Model Description





- Developed by: Paolo Viceconte
- Model type: 
- Language(s) (NLP): Mode-Adaptive Neural Networks
- License: BSD 3-Clause License

### Model nomenclature

The model stored in this repo has the following nomenclature '<robot_model>_<number_of_considered_joints>j_<number_of_epoch>e.onnx'
For instance 'ergocubSN000_26j_49e.onnx' means that the model has been trained on 'ergocubSN000' considering '26' joints and the number of epoch is '49'.

- Repository: URL
 

# Model Card for Model ID


The mann project contains the Mode-Adaptive Neural Networks (MANN) architecture, originally proposed in 
> H. Zhang, S. Starke, T. Komura, and J. Saito,
> “Mode-adaptive neural networks for quadruped motion control,”
> ACM Trans. Graph., vol. 37, no. 4, pp. 1–11, 2018.
> ## Model Details ### Model Description





- Developed by: Paolo Viceconte
- Model type: 
- Language(s) (NLP): Mode-Adaptive Neural Networks
- License: BSD 3-Clause License ### Model nomenclature

The model stored in this repo has the following nomenclature '<robot_model>_<number_of_considered_joints>j_<number_of_epoch>e.onnx'
For instance 'ergocubSN000_26j_49e.onnx' means that the model has been trained on 'ergocubSN000' considering '26' joints and the number of epoch is '49'.

- Repository: URL
TAGS
#onnx #en #license-bsd #region-us 
 # Model Card for Model ID


The mann project contains the Mode-Adaptive Neural Networks (MANN) architecture, originally proposed in 
> H. Zhang, S. Starke, T. Komura, and J. Saito,
> “Mode-adaptive neural networks for quadruped motion control,”
> ACM Trans. Graph., vol. 37, no. 4, pp. 1–11, 2018.
> ## Model Details ### Model Description





- Developed by: Paolo Viceconte
- Model type: 
- Language(s) (NLP): Mode-Adaptive Neural Networks
- License: BSD 3-Clause License ### Model nomenclature

The model stored in this repo has the following nomenclature '<robot_model>_<number_of_considered_joints>j_<number_of_epoch>e.onnx'
For instance 'ergocubSN000_26j_49e.onnx' means that the model has been trained on 'ergocubSN000' considering '26' joints and the number of epoch is '49'.

- Repository: URL