Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
Repository Index
47,133 repositories indexed
1–24 of 47 · Most stars
Learn AI Engineering! Learn it. Build it. Ship it for others.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
SGLang is a high-performance serving framework for large language models and multimodal models.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
The absolute trainer to light up AI agents.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Machine learning, in numpy
Python Implementation of Reinforcement Learning: An Introduction
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
TensorFlow Tutorials with YouTube Videos
Infrastructure for continually self‑improving agents
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Deep Reinforcement Learning for Keras.
A library of reinforcement learning components and agents
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Debugging, monitoring and visualization for Python Machine Learning and Data Science