BxModels
BxModels provides a repository for well-known machine learning models implemented in PyTorch. With the help of PyTorch, these models can benefit from strong GPU acceleration.
BxModels is built on top of BxTorch, a library which enables developers to handle PyTorch models even more easily and providing multiple means of speeding up training.
Installation
BxModels is available on PyPi, so simply run the following command:
pip install bxmodels
1 maintainer
Metadata
1 maintainer
Release files for BxModels 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| BxModels-0.4.0.tar.gz | 11.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| BxModels-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.8 kB
Release files / BxModels-0.4.0.tar.gz
| Download URL | BxModels-0.4.0.tar.gz |
|---|---|
| Size | 11.0 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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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5
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Release files / BxModels-0.4.0-py3-none-any.whl
| Download URL | BxModels-0.4.0-py3-none-any.whl |
|---|---|
| Size | 14.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5
|
