1. Explaining datasets and models
  2. MIT License
  3. Open Source Tools for AI-Projects

Open Source Tools for AI-Projects

Displaying 1 - 10 of 17
fairlearn by fairlearn


A Python package to assess and improve fairness of machine learning models.
netron by lutzroeder


Visualizer for neural network, deep learning, and machine learning models
interpret by interpretml


Fit interpretable models. Explain blackbox machine learning.
lightly by lightly-ai


A python library for self-supervised learning on images.
shap by slundberg


A game theoretic approach to explain the output of any machine learning model.


Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
keras-vis by raghakot


Neural network visualization toolkit for keras
cleverhans by cleverhans-lab


An adversarial example library for constructing attacks, building defenses, and benchmarking both
responsibly by ResponsiblyAI


Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
deeplift by kundajelab


Public facing deeplift repo