SymTorch allows you to approximate the behaviour of components within deep learning models with symbolic equations using PySR.
Installation
SymTorch is available on PyPI as torch-symbolic:
pip install torch-symbolic
You can also install directly from the source:
pip install git+https://github.com/elizabethsztan/SymTorch
Documentation
Full documentation is available at ReadTheDocs.
License
MIT License
1 maintainer
Metadata
1 maintainer
Release files for torch-symbolic 1.0.1.post1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| torch_symbolic-1.0.1.post1.tar.gz | 1.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torch_symbolic-1.0.1.post1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.7 MB
Release files / torch_symbolic-1.0.1.post1.tar.gz
| Download URL | torch_symbolic-1.0.1.post1.tar.gz |
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| Size | 1.7 MB |
| Tags | Source |
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Release files / torch_symbolic-1.0.1.post1-py3-none-any.whl
| Download URL | torch_symbolic-1.0.1.post1-py3-none-any.whl |
|---|---|
| Size | 21.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.11.14
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