fastax
Overview
fastax is a Deep Learning Library built on top of Google's JAX that tries to facilitate doing research by providing a combination of JAX's versatility with implementations of the most used neural networks layers and utilities.
More concrete information and naming
fastax is both a combination of fastai and JAX and fastai and stax:
- It is built on top of JAX and most of its original code comes from its Neural Network mini-library stax
- One of the long term goals of this library is implementing Jeremy Howard's fastai course "Deep Learning From the Foundations"
For more information visit https://github.com/joaogui1/fastax
1 maintainer
Metadata
1 maintainer
Release files for fastax 0.1.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| fastax-0.1.3.tar.gz | 35.4 kB | Without provenance | Details for fastax-0.1.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| fastax-0.1.3-py3-none-any.whl | Python 3 | none | any | Details for fastax-0.1.3-py3-none-any.whl |
Total release size: 89.1 kB
Release files / fastax-0.1.3.tar.gz
| Download URL | fastax-0.1.3.tar.gz |
|---|---|
| Size | 35.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.4
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Release files / fastax-0.1.3-py3-none-any.whl
| Download URL | fastax-0.1.3-py3-none-any.whl |
|---|---|
| Size | 53.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.4
|
Security for fastax 0.1.3
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