EasyJax
work-in-progress.
EasyJax is a python package that facilitates machine learning development for JAX. It does that by providing:
- A high-level API for machine learning workflows in JAX (specifically a trainer, experiment parent class).
- Several machine learning specific utilities for working with JAX (e.g.,
ml.update_step).
1 maintainer
Release files for easyjax 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 | |
|---|---|---|---|
| easyjax-0.1.3.tar.gz | 2.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| easyjax-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:5.9 kB
Release files / easyjax-0.1.3.tar.gz
| Download URL | easyjax-0.1.3.tar.gz |
|---|---|
| Size | 2.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
66ca412ac48212b5426d6a8a40dff1029fd71589dd4dd054179aff6628b64da9
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BLAKE2b-256 checksum How to use checksums |
a16ae48333b02aab53c880b5f7d4c3b5fed62e1f774e69b9312d4890152e6b27
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.2.2 CPython/3.8.5 Darwin/20.1.0
|
Release files / easyjax-0.1.3-py3-none-any.whl
| Download URL | easyjax-0.1.3-py3-none-any.whl |
|---|---|
| Size | 3.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4fe3c0744bca97c09224793b14f0edf7320c4bafaa452125914adb685ae01449
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BLAKE2b-256 checksum How to use checksums |
3f894bcebead200e43beca88277c27258e526eaa224ecf92caa6102ffccafcfa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.2.2 CPython/3.8.5 Darwin/20.1.0
|
