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A curated list of awesome responsible machine learning resources.
r
xai
python
awesome
fairness
ai-safety
secure-ml
reliable-ai
awesome-list
data-science
transparency
explainable-ml
interpretability
interpretable-ai
interpretable-ml
machine-learning
interpretable-machine-learning
privacy-enhancing-technologies
machine-learning-interpretability
privacy-preserving-machine-learning
Created
2018-06-21
1,165 commits to master branch, last one 20 days ago
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.
Created
2018-08-22
437 commits to main branch, last one 5 months ago
A Python package to assess and improve fairness of machine learning models.
Created
2018-05-15
905 commits to main branch, last one 4 days ago
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libr...
Created
2020-07-06
1,970 commits to main branch, last one 3 months ago
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.
Created
2022-08-16
176 commits to main branch, last one 10 hours ago
moDel Agnostic Language for Exploration and eXplanation
Created
2018-02-18
687 commits to master branch, last one 2 months ago
Gno: An interpreted, stack-based Go virtual machine to build succinct and composable apps + gno.land: a blockchain for timeless code and fair open-source.
Created
2021-01-29
1,800 commits to master branch, last one 7 hours ago
A Go library for serving resources fairly
Created
2024-09-06
65 commits to main branch, last one 14 days ago
Bias Auditing & Fair ML Toolkit
Created
2018-02-13
921 commits to master branch, last one 2 months ago
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Created
2018-03-14
169 commits to master branch, last one about a year ago
An experimental platform for federated learning.
Created
2021-05-10
1,282 commits to FLGo branch, last one a day ago
This repository has no description...
Created
2016-01-02
104 commits to master branch, last one 7 years ago
A curated list of trustworthy deep learning papers. Daily updating...
privacy
backdoor
fairness
green-ai
security
causality
ownership
poisoning
robustness
uncertainty
ai-alignment
watermarking
deep-learning
hallucinations
gradient-leakage
machine-unlearning
interpretable-deep-learning
membership-inference-attack
adversarial-machine-learning
out-of-distribution-generalization
Created
2020-07-19
639 commits to master branch, last one 4 days ago
A curated list of awesome Fairness in AI resources
Created
2019-10-15
38 commits to master branch, last one 4 years ago
Conformalized Quantile Regression
Created
2019-04-12
201 commits to master branch, last one 2 years ago
Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
Created
2021-05-18
9 commits to main branch, last one 3 years ago
Python code for training fair logistic regression classifiers.
Created
2016-04-15
36 commits to master branch, last one 6 years ago
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
Created
2020-07-01
17 commits to main branch, last one 3 years ago
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
aaai
adaptive
fairness
robustness
data-mining
data-augmentation
graph-augmentation
location-embedding
traffic-forecasting
contrastive-learning
spatio-temporal-data
graph-neural-networks
representation-learning
robust-machine-learning
traffic-flow-prediction
self-supervised-learning
spatio-temporal-prediction
Created
2022-12-02
17 commits to main branch, last one 15 days ago
Paper List for Fair Graph Learning (FairGL).
Created
2022-03-27
77 commits to master branch, last one 2 months ago
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
Created
2019-02-12
89 commits to master branch, last one 3 years ago
A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust, NeurIPS 2024 Track Datasets and Benchmarks)
Created
2024-06-09
193 commits to main branch, last one 28 days ago
A curated list of papers and resources about the distribution shift in machine learning.
Created
2022-12-19
58 commits to main branch, last one about a year ago
Train Gradient Boosting models that are both high-performance *and* Fair!
Created
2022-03-28
2,605 commits to main-fairgbm branch, last one 6 months ago
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Created
2018-08-02
294 commits to master branch, last one 3 years ago
This is a collection of papers and other resources related to fairness.
Created
2019-02-02
110 commits to master branch, last one about a year ago
Identify bias and measure fairness of your data
Created
2021-03-30
120 commits to main branch, last one 2 years ago
Flexible tool for bias detection, visualization, and mitigation
Created
2020-03-28
231 commits to master branch, last one 2 years ago
A Python toolkit for analyzing machine learning models and datasets.
Created
2023-04-29
2 commits to main branch, last one about a year ago
Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
Created
2018-08-30
45 commits to master branch, last one about a year ago