HotJAX | Probabilistic Machine Learning with Energy-Based Models in JAX
Install it from PyPI
pip install hotjax
Usage
from hotjax import BaseClass
from hotjax import base_function
BaseClass().base_method()
base_function()
Development
Read the CONTRIBUTING.md file.
1 maintainer
Release files for hotjax 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hotjax-0.0.1.tar.gz | 3.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hotjax-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.7 kB
Release files / hotjax-0.0.1.tar.gz
| Download URL | hotjax-0.0.1.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / hotjax-0.0.1-py3-none-any.whl
| Download URL | hotjax-0.0.1-py3-none-any.whl |
|---|---|
| Size | 3.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/5.0.0 CPython/3.12.2
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