| Name | Version | Summary | date |
| layered-bias-probe |
1.0.1 |
A comprehensive toolkit for layer-wise bias analysis in language models with fine-tuning support |
2025-08-29 15:31:01 |
| mtrust-medical |
1.0.1 |
M-TRUST: Bias detection and mitigation for medical AI |
2025-08-10 06:05:19 |
| wefe |
1.0.0 |
The Word Embedding Fairness Evaluation Framework |
2025-07-29 04:32:07 |
| bias-lens |
0.0.2 |
A library for bias detection and explainable AI methods in NLP models. |
2025-02-23 08:16:06 |
| the-fairly-project |
0.4 |
Bias analysis toolkit for NLP and multimodal models |
2024-10-29 00:43:16 |
| NewsFrames |
1.3.7 |
Easy-to-use, high-quality identification of generic framing dimensions in English news articles |
2023-12-12 18:24:53 |
| etiq-spark |
1.5.1 |
This is an optional, extension to the etiq library to provide spark datasets |
2023-12-01 10:03:29 |
| etiq |
1.5.1 |
ETIQ.ai ML Testing library |
2023-12-01 09:53:33 |
| clima-anom |
0.7.8 |
Obtain the climatology and anomalies only for monthly data. |
2023-11-29 21:13:28 |
| aequitas-lib |
1.0.0 |
Core library of the Aequitas project |
2023-10-11 13:46:23 |
| TR-BIAS |
0.0.1 |
Python package to idenitfy bias from a corpus |
2023-09-12 19:11:35 |
| demv |
1.0.1 |
Debiaser for Multiple Variables(DEMV) is a pre-processing algorithm for binary and multi-class datasets that mitigates bias by perfectly balancing the sensitive groups identified by each possible sensitive variables' value and each label's value |
2023-09-12 13:04:55 |
| biaslyze |
0.1.0 |
The NLP Bias Identification Toolkit |
2023-08-25 10:04:06 |
| prolog-primitives |
1.2.2 |
description here |
2023-07-21 18:08:10 |
| nlptest |
1.5.0 |
John Snow Labs provides a library for delivering safe & effective NLP models. |
2023-06-16 12:53:33 |
| dataset-bias-metrics |
0.1 |
Dataset demographic bias metrics |
2023-03-28 10:07:18 |
| aequitas-lite |
0.43.5 |
The bias and fairness audit toolkit. |
2023-03-24 15:40:04 |
| fairxplainer |
0.1.0 |
A Python package for explaining bias in machine learning models |
2023-03-10 12:50:37 |
| canonical-sets |
0.0.3 |
Exposing Algorithmic Bias with Canonical Sets. |
2023-02-03 13:20:29 |
| aequitas |
0.42.0 |
The bias and fairness audit toolkit. |
2020-12-16 11:48:19 |