47 results found Sort:
- Filter by Primary Language:
- Python (23)
- Jupyter Notebook (9)
- HTML (1)
- R (1)
- Ruby (1)
- Scala (1)
- C++ (1)
- TypeScript (1)
- Go (1)
- +
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
1,043 commits to master branch, last one a day 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
436 commits to main branch, last one about a month ago
A Python package to assess and improve fairness of machine learning models.
Created
2018-05-15
851 commits to main branch, last one 9 days ago
moDel Agnostic Language for Exploration and eXplanation
Created
2018-02-18
677 commits to master branch, last one 9 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
1,964 commits to main branch, last one 11 days 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
155 commits to main branch, last one 5 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
1,400 commits to master branch, last one 13 hours 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
Bias Auditing & Fair ML Toolkit
Created
2018-02-13
911 commits to master branch, last one 18 days ago
An experimental platform for federated learning.
Created
2021-05-10
1,108 commits to FLGo branch, last one 2 days ago
This repository has no description...
Created
2016-01-02
104 commits to master branch, last one 7 years ago
A curated list of awesome Fairness in AI resources
Created
2019-10-15
38 commits to master branch, last one 3 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
594 commits to master branch, last one a day 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 2 years ago
Conformalized Quantile Regression
Created
2019-04-12
201 commits to master branch, last one 2 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
14 commits to main branch, last one 4 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
Paper List for Fair Graph Learning (FairGL).
Created
2022-03-27
66 commits to master branch, last one 4 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 10 months ago
Train Gradient Boosting models that are both high-performance *and* Fair!
Created
2022-03-28
2,603 commits to main-fairgbm branch, last one 4 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 11 months 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 about a year ago
A Python toolkit for analyzing machine learning models and datasets.
Created
2023-04-29
2 commits to main branch, last one 8 months ago
Data+code for NFT launch guide blogpost.
Created
2021-10-13
1 commits to master branch, last one 2 years 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
Sidekiq middleware to re-route “greedy” clients’ jobs to slower queues
Created
2024-01-12
3 commits to master branch, last one 2 months ago