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#

xai

Here are 761 public repositories matching this topic...

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

  • UpdatedMar 14, 2025
  • Python

Algorithms for explaining machine learning models

  • UpdatedMar 6, 2025
  • Python

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

  • UpdatedDec 29, 2024
  • Python

A collection of research materials on explainable AI/ML

  • UpdatedOct 29, 2024
  • Markdown
DALEX

Generate Diverse Counterfactual Explanations for any machine learning model.

  • UpdatedNov 22, 2024
  • Python
BaseAI

BaseAI — The Web AI Framework. The easiest way to build serverless autonomous AI agents with memory. Start building local-first, agentic pipes, tools, and memory. Deploy serverless with one command.

  • UpdatedFeb 25, 2025
  • TypeScript

Interesting resources related to XAI (Explainable Artificial Intelligence)

  • UpdatedMay 31, 2022
  • R

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

  • UpdatedJun 17, 2024
  • Jupyter Notebook
xplique

👋 Xplique is a Neural Networks Explainability Toolbox

  • UpdatedOct 8, 2024
  • Python

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.

  • UpdatedMar 9, 2025
  • Python

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

  • UpdatedFeb 7, 2025
  • Jupyter Notebook

Make Discord your LLM frontend ● Supports any OpenAI compatible API (Ollama, LM Studio, vLLM, OpenRouter, xAI, Mistral, Groq and more)

  • UpdatedMar 15, 2025
  • Python

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