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TorchDyno is a PyTorch-based library for the implementation of dynamical systems. It provides a simple and flexible way to build and train non-standard recurrent models, such as Reservoir Computing models. TorchDyno is designed to be easy to use, efficient, and flexible. It is built on top of PyTorch, which makes it easy to integrate with other PyTorch-based libraries.
Here's the link to the documentation: https://torchdyno.readthedocs.io/en/latest/
Installation
First, you must install the desired version of torch and torchvision. To install TorchDyno and all its dependencies, you can run the following commands:
pip install torchdyno
Credits
We thank eclypse-org and Jacopo Massa for the structure and the template of the documentation!
1 maintainer
Metadata
1 maintainer
Release files for torchdyno 0.2.3
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Built distributions (wheels)
Total release size: 365.5 kB
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| Download URL | torchdyno-0.2.3-cp312-cp312-manylinux_2_39_x86_64.whl |
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Release files / torchdyno-0.2.3-cp312-cp312-manylinux_2_35_x86_64.whl
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Release files / torchdyno-0.2.3-cp312-cp312-macosx_14_0_arm64.whl
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Release files / torchdyno-0.2.3-cp311-cp311-win_amd64.whl
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| Download URL | torchdyno-0.2.3-cp311-cp311-win_amd64.whl |
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| Download URL | torchdyno-0.2.3-cp311-cp311-manylinux_2_39_x86_64.whl |
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Release files / torchdyno-0.2.3-cp311-cp311-manylinux_2_35_x86_64.whl
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| Download URL | torchdyno-0.2.3-cp310-cp310-win_amd64.whl |
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| Download URL | torchdyno-0.2.3-cp310-cp310-manylinux_2_39_x86_64.whl |
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Release files / torchdyno-0.2.3-cp310-cp310-manylinux_2_35_x86_64.whl
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