A list of AI autonomous agents

A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

LLM101n: Let's build a Storyteller

A frontend for creative writing with LLMs

A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

Python library for solving reinforcement learning (RL) problems using generative models.

A curated list of Tsetlin Machine research

😱 A curated list of amazingly awesome OSINT

Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.

Dataset Crafting w/ RAG/Wikipedia ground truth and Efficient Fine-Tuning Using MLX and Unsloth. Includes configurable dataset annotation editor Gradio UI.

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch

A minimal GPU design in Verilog to learn how GPUs work from the ground up

A collection of resources that showcase the intersection of simulation and LLM-agents.

A library for building software agents using behavior trees and language models.

⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…

The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.

Zero-Shot Speech Editing and Text-to-Speech in the Wild

Lamorel is a Python library designed for RL practitioners eager to use Large Language Models (LLMs).

Reasoning Computers. Lambda Calculus, Fully Differentiable. Also Neural Stacks, Queues, Arrays, Lists, Trees, and Latches.

Fine-tune LLM agents with online reinforcement learning

Official Repository for LEURN: Learning Explainable Univariate Rules with Neural Networks

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

DSPy: The framework for programming—not prompting—foundation models

Self-Alignment with Principle-Following Reward Models

Generate Synthetic Data Using OpenAI, MistralAI or AnthropicAI

The Supabase for RAG - R2R lets you build, scale, and manage user-facing Retrieval-Augmented Generation applications in production.