Probabilistic Machine Learning with Energy-Based Models in JAX
Project description
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hotjax-0.0.1.tar.gz
(3.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file hotjax-0.0.1.tar.gz.
File metadata
- Download URL: hotjax-0.0.1.tar.gz
- Upload date:
- Size: 3.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
02290d5a816af0502ef855a5b33720c54e8ca76f4737ac61ccb040682bd30392
|
|
| MD5 |
1c385d0f5b7c23da882a338802f401c3
|
|
| BLAKE2b-256 |
6e9cd197f983d766c59455af72d5658702c46a2938b336539508ae8239eea9d7
|
File details
Details for the file hotjax-0.0.1-py3-none-any.whl.
File metadata
- Download URL: hotjax-0.0.1-py3-none-any.whl
- Upload date:
- Size: 3.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
97bbdd4d0fb848d8feed9b17f70733ddf56ba48f091659c879a0252d1737ef0a
|
|
| MD5 |
9bca220e3228170627d84838cb8a1a15
|
|
| BLAKE2b-256 |
c75c08329beb540ed85dd209bfd86f123c6448875a1ee3692b192be9ebeb360b
|