Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
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Updated
Apr 7, 2025 - Python
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.
A curated list of awesome responsible machine learning resources.
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
A collection of research materials on explainable AI/ML
moDel Agnostic Language for Exploration and eXplanation
Generate Diverse Counterfactual Explanations for any machine learning model.
XAI - An eXplainability toolbox for machine learning
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.
Interesting resources related to XAI (Explainable Artificial Intelligence)
优质稳定的OpenAI、Gemini、Claude等的API接口-For企业和开发者。OpenAI的api proxy,支持ChatGPT的API调用,支持openai的API接口,支持:gpt-4,gpt-3.5。不需要openai Key, 不需要买openai的账号,不需要美元的银行卡,通通不用的,直接调用就行,稳定好用!!智增增
Papers about explainability of GNNs
👋 Xplique is a Neural Networks Explainability Toolbox
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
parrot.nvim 🦜 - the plugin that brings stochastic parrots to Neovim.
A minimalistic MCP client with a good feature set.
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.
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