explainable-ai

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

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

Graph-Native Infrastructure for Context and Accountable AI Systems

Fit interpretable models. Explain blackbox machine learning.

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

High-Performance Symbolic Regression in Python and Julia

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

The Self-Coding System for Your App — Alan AI SDK for Web

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

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.

Interpretability and explainability of data and machine learning models

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

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

Diffusion attentive attribution maps for interpreting Stable Diffusion.

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

Interpretability for sequence generation models 🐛 🔍

Diffusers-Interpret 🤗🧨🕵️‍♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.

Causal discovery algorithms and tools for implementing new ones

[ICCV25 Oral] Token Activation Map to Visually Explain Multimodal LLMs

A Python toolkit for chain-of-thought prompting 🐍