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

Algorithms for explaining machine learning models

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

Interpretability and explainability of data and machine learning models

Generate Diverse Counterfactual Explanations for any machine learning model.

moDel Agnostic Language for Exploration and eXplanation

XAI - An eXplainability toolbox for machine learning

👋 Xplique is a Neural Networks Explainability Toolbox

ComfyUI-IF_AI_tools is a set of custom nodes for ComfyUI that allows you to generate prompts using a local Large Language Model (LLM) via Ollama. This tool enables you to enhance your image generation workflow by leveraging the power of language models.

A Python library for Interpretable Machine Learning in Text Classification using the SS3 model, with easy-to-use visualization tools for Explainable AI

Neural network visualization toolkit for tf.keras

🎙️ Speak with AI - Run locally using Ollama, OpenAI, Anthropic or xAI - Speech uses XTTS, OpenAI, ElevenLabs or Kokoro

A terminal utility for intelligent shell command generation

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

Repository for the Explainable Deep One-Class Classification paper

Layer-wise Relevance Propagation (LRP) for LSTMs.

[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes

ToolMate AI, developed by Eliran Wong, is a cutting-edge AI companion that seamlessly integrates agents, tools, and plugins to excel in conversations, generative work, and task execution. Supports custom workflow and plugins to automate multi-step actions.

Interpret text data using LLMs (scikit-learn compatible).