Discover and explore the most popular open source AI and machine learning tools from GitHub
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Lime: Explaining the predictions of any machine learning classifier
Perform data science on data that remains in someone else's server
Visualizations for machine learning datasets
Fit interpretable models. Explain blackbox machine learning.
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Model interpretability and understanding for PyTorch
A collection of infrastructure and tools for research in neural network interpretability.
DeepVis Toolbox
Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.