libcpab
Maintained fork of libcpab for PyTorch.
Install with pip: pip install libcpab
This fork of libcpab:
- Removes numpy and tensorflow backends to only allow pytorch;
- Simplifies file structure;
- Maintenance: remove deprecated numpy and scipy dependencies and update to latest functions.
Requirements remain as numpy, scipy, matplotlib and pytorch.
1 maintainer
Metadata
1 maintainer
Release files for libcpab 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| libcpab-0.1.3.tar.gz | 17.6 kB | Without provenance | Details for libcpab-0.1.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| libcpab-0.1.3-py3-none-any.whl | Python 3 | none | any | Details for libcpab-0.1.3-py3-none-any.whl |
Total release size: 36.8 kB
Release files / libcpab-0.1.3.tar.gz
| Download URL | libcpab-0.1.3.tar.gz |
|---|---|
| Size | 17.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.0.1 CPython/3.10.11
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Release files / libcpab-0.1.3-py3-none-any.whl
| Download URL | libcpab-0.1.3-py3-none-any.whl |
|---|---|
| Size | 19.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.10.11
|
Security for libcpab 0.1.3
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