| --- |
| license: bsd |
| language: |
| - en |
| --- |
| # Model Card for Model ID |
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| <!-- 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 |
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| ### Model Description |
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| <!-- Provide a longer summary of what this model is. --> |
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| - **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 |
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| ### Model nomenclature |
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| 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`. |
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| - **Repository:** https://github.com/ami-iit/mann-pytorch |
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