Showing 1-15 of 15 projects
Open-source Grok-1 model for local inference with JAX
A Rust-based algorithm powering the 'For You' feed on X, a developer discovery platform focused on AI-powered coding tools.
Advanced AI Explainability library for computer vision models built with PyTorch.
AI suite with advanced AI/AGI functions, including personas, multi-model chats, text-to-image, voice, and more.
Interpret is a framework for fitting interpretable machine learning models and explaining black-box models.
Multi-agent AI system for automated code vulnerability detection and security auditing with PoC verification.
A curated list of responsible machine learning resources for interpretable AI development.
Prompt collection for the Grok chat assistant and AI bot, focusing on AI-powered developer tools.
A comprehensive Ruby API for integrating with various AI tools and platforms, including OpenAI, Anthropic, Gemini, and more.
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
A Python library for interpretability and explainability of data and machine learning models.
Generate diverse counterfactual explanations for machine learning models.
A Python library for interpretable and explainable machine learning model analysis and visualization.
An explainability toolbox for developers building machine learning models with interpretability and fairness in mind.
A TypeScript framework for building serverless AI agents with memory, easy to deploy with a single command.
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