Add your description here
Project description
bias-fairness
Tools, explanations, and code for understanding and mitigating bias in AI models. Focused on fairness evaluation, detection, and responsible AI development.
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
bias_fairness-0.1.0.tar.gz
(2.0 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 bias_fairness-0.1.0.tar.gz.
File metadata
- Download URL: bias_fairness-0.1.0.tar.gz
- Upload date:
- Size: 2.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.5.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b41b5970673cb56239d23d10b689d7eba13dd8579c721a8323e57019765bf361
|
|
| MD5 |
780310d4b837cf7dd41d4a970254e3e9
|
|
| BLAKE2b-256 |
c4c5f29c3567d0d1dfe76ea0e3322e41a003891172dbd770261d570f0ba6182c
|
File details
Details for the file bias_fairness-0.1.0-py3-none-any.whl.
File metadata
- Download URL: bias_fairness-0.1.0-py3-none-any.whl
- Upload date:
- Size: 2.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.5.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e4c8cf065774c39e19c71c35a688f48dbfacef0e663a093cfca1585143164542
|
|
| MD5 |
93e5c30eb7c3d15b84f3dcfd48a8d610
|
|
| BLAKE2b-256 |
aa16c1514eea295cf5412a07fb2ad08fa48f9382378dbec919723ba83f5ebf44
|
