Popular GitHub Repositories for Explainable Lexicons

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Fit interpretable models. Explain blackbox machine learning.

Official PyTorch implementation of PTS/PSRN: Fast and efficient symbolic expression discovery through parallelized tree search. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

A curated list of awesome responsible machine learning resources.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

? Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Evaluation and Tracking for LLM Experiments

Python library for Modzy Machine Learning Operations (MLOps) Platform

Generative AI SDK for Web to create AI Agents for apps built with JavaScript, React, Angular, Vue, Ember, Electron

A library for graph deep learning research

A collection of research papers and software related to explainability in graph machine learning.

Interpretability and explainability of data and machine learning models

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 libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

Interpretable ML package ? for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Model explainability that works seamlessly with ? transformers. Explain your transformers model in just 2 lines of code.

XAI - An eXplainability toolbox for machine learning

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Explainability for Vision Transformers

ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ? support visual intelligence development!