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.
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
moDel Agnostic Language for Exploration and eXplanation
Generate Diverse Counterfactual Explanations for any machine learning model.
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 package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI )
Neural network visualization toolkit for tf.keras
Repository for the Explainable Deep One-Class Classification paper
Layer-wise Relevance Propagation (LRP) for LSTMs.
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
🎙️ Speak with AI - Run locally using Ollama, OpenAI, Anthropic or xAI - Speech uses XTTS, OpenAI, ElevenLabs or Kokoro
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
Interpret text data using LLMs (scikit-learn compatible).
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