1.rohitg00 / ai-engineering-from-scratch
Learn AI Engineering! Learn it. Build it. Ship it for others.
Ranked by Attention Score: stars gained over the last 30 complete days
37 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
Learn AI Engineering! Learn it. Build it. Ship it for others.
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.
SGLang is a high-performance serving framework for large language models and multimodal models.
Infrastructure for continually self‑improving agents
The absolute trainer to light up AI agents.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🧑🏫 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, ... 🧠
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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!
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Python Implementation of Reinforcement Learning: An Introduction
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
A collection of environments for autonomous driving and tactical decision-making tasks
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
A library of reinforcement learning components and agents
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Machine learning, in numpy
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Accelerated deep learning R&D
Computational framework for reinforcement learning in traffic control
Scalable, event-driven, deep-learning-friendly backtesting library
[ICRA] Crowd-aware Robot Navigation
A curated list of Monte Carlo tree search papers with implementations.
No description provided by the repository host.
Trax — Deep Learning with Clear Code and Speed
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Deep Reinforcement Learning for Keras.