Open Source AI Tools
Discover and explore the most popular open source AI and machine learning tools from GitHub
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employee-attrition-aif360
IBM
Transparency
Walkthrough the data science life cycle with different tools, techniques, and algorithms. Use AIF360, pandas, and Jupyter notebooks to build and deploy a model on Watson Machine Learning.
Jupyter Notebook
48
46
0
0
fairness_measures_code
megantosh
BiasFreeAPI
Fairness measures for machine learning models
Python
40
scikit-fairness
koaning
BiasFreeAPI
this repo might get accepted
Python
28
Fair-SMOTE
joymallyac
BiasFreeAPI
GitHub repo for FSE 2021 Paper - ``Bias in Machine Learning Software: Why? How? What to do?''
Jupyter Notebook
16
FairPrep
DataResponsibly
FairnessFreeAPI
FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.
Python
11
fairCORELS
ferryjul
FairnessFreeAPI
Algorithm for learning fair rule lists
C++
9
30_oracle_Skater
oracle
ExplainabilityFreeAPI
Unified framework to enable Model Interpretation
Python
2
IBM-Adversarial-Robustness-Toolbox-ART-on-GermanTrafficSigns
IBM
Privacy & SecurityFreeAPI
Library for adversarial attacks and defenses
Jupyter Notebook
1
Aequitas: Bias Auditing and Fair ML Toolkit
FairnessFreeAPI
Bias audit toolkit to audit machine learning models for discrimination and bias
0
AI Auditing Framework
Transparency
Framework for auditing AI systems for transparency, accountability, and ethics
0
0
AI Audit Trail
Transparency
Tool for tracking and auditing AI model decisions
0
0
0
AI Ethics Board
Transparency
Platform for establishing an AI ethics board in organizations
0
0
0
With Thanks to Our Contributors & Supporters
Building a responsible AI marketplace is a community effort. We're grateful to the developers, researchers, organizations, evaluators, and individuals whose work helps make AI more accessible, transparent, and responsible through the framework of 6 pillars:
TransparencyPrivacy & SecurityFairnessExplainabilityEthicalBias
Database Contributors
Researchers and developers whose data collection efforts help build the foundation of AI tools.
