Xai Python Packages

interpret-core

Fit interpretable models. Explain blackbox machine learning.

interpret

Fit interpretable models. Explain blackbox machine learning.

grad-cam

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

dice-ml

Generate Diverse Counterfactual Explanations for any machine learning model.

explainerdashboard

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

dalex

moDel Agnostic Language for Exploration and eXplanation

alibi

Algorithms for explaining machine learning models

agentmake

AgentMake AI: a kit for developing agentic AI applications that support 24 AI backends and and work with 7 agentic components, such as tools and agents. (Developer: Eliran Wong) Supported backends: anthropic, azure, azure_any, cohere, custom, deepseek, genai, github, github_any, googleai, groq, llamacpp, mistral, ollama, openai, vertexai, xai

pyxai

PyXAI (Python eXplainable AI) is a Python library (version 3.6 or later) allowing to bring formal explanations suited to (regression or classification) tree-based ML models (Decision Trees, Random Forests, Boosted Trees, ...).

arcllm-sdk

Fast, typed, dependency-light Python SDK for 25+ LLM providers (OpenAI, Anthropic, Bedrock, Vertex, xAI, Groq, Cohere, and more) with a single OpenAI-compatible API

tf-keras-vis

Neural network visualization toolkit for tf.keras

effector

Effector - a Python package for global and regional effect methods

toolmate

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.

zennit

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

proxyml

Privacy-preserving model explainability

edgaro

Explainable imbalanceD learninG compARatOr - Engineering Thesis Project

toolmate-lite

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.

aix360

Interpretability and explainability of data and machine learning models

quantus

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

chibi-bot

Your Digital Companion. Self-hosted Telegram bot orchestrating multiple AI providers (OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral, Alibaba, MiniMax) with autonomous agent capabilities, MCP integrations, and async task execution. Not a tool. A partner.

toolmate-android

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.

imodelsx

Interpret text data with LLMs (sklearn compatible).

grok-faf-voice

Python SDK that gives xAI Grok Voice agents persistent memory across sessions, devices, and models. LiveKit-enabled. MIT licensed.

mllm-shap

Implementation of Shapley Values for Multi Modal Large Language Models. Bachelor for Data Science studies at Warsaw University of Technology