Skip to content
#

fairness

Star

Here are 260 public repositories matching this topic...

Language: All
Filter by language
All 260 Python 91 Jupyter Notebook 75 HTML 9 R 9 TeX 7 JavaScript 6 C# 4 TypeScript 4 C++ 3 Java 3
Sort: Most stars
Sort options
Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

Trusted-AI / AIF360

Star 1.9k

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

python machine-learning r ai deep-learning artificial-intelligence bias fairness bias-finder ibm-research discrimination bias-correction ibm-research-ai bias-reduction fairness-testing bias-detection codait fairness-awareness-model fairness-ai trusted-ai
  • Updated Dec 15, 2022
  • Python

jphall663 / interpretable_machine_learning_with_python

Star 624

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

python data-science machine-learning data-mining h2o gradient-boosting-machine transparency decision-tree fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability
  • Updated Jun 22, 2022
  • Jupyter Notebook

WwZzz / easyFL

Star 250

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

machine-learning deep-learning distributed-computing pytorch fairness federated-learning
  • Updated Dec 10, 2022
  • Python

tangxyw / RecSysPapers

Star 148

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

reinforcement-learning match rank calibration recommendation-system cold-start papers multi-modal causal-inference multi-task fairness debias multi-scenario distillation diverse re-rank look-alike contrastive-learning pre-rank feedback-delay
  • Updated Jan 2, 2023
  • Python
deep-explanation-penalization

laura-rieger / deep-explanation-penalization

Star 114

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

python data-science machine-learning ai deep-learning neural-network jupyter-notebook ml pytorch artificial-intelligence convolutional-neural-network fairness interpretability cdep feature-importance recurrent-neural-network interpretable-deep-learning explainable-ai explainability fairness-ml
  • Updated Mar 22, 2021
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the fairness topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the fairness topic, visit your repo's landing page and select "manage topics."

Learn more