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 astax 0.1.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| astax-0.1.3.tar.gz | 3.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| astax-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.9 kB
Release files / astax-0.1.3.tar.gz
| Download URL | astax-0.1.3.tar.gz |
|---|---|
| Size | 3.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.10.1 urllib3/1.26.12 tqdm/4.64.1 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.8
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Release files / astax-0.1.3-py3-none-any.whl
| Download URL | astax-0.1.3-py3-none-any.whl |
|---|---|
| Size | 10.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.10.1 urllib3/1.26.12 tqdm/4.64.1 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.8
|
Security for astax 0.1.3
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