In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…

This repository contains implementations and illustrative code to accompany DeepMind publications

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Machine Learning Journal for Intermediate to Advanced Topics.

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Implementation of all RL algorithms in a simpler way

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.

Repository with code and slides for a tutorial on causal inference.

A walkthrough of transformer architecture code

Minimal standalone example of diffusion model

Code release for Learning with Opponent-Learning Awareness and variations.

Reinforcement Learning research

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

A Cookbook to start building with LLMs

Solving a Rubik's Cube and 15 Puzzle using the Deep Reinforcement Learning and Search

A self-contained JAX implementation of DIScriminator DisAgreement INtrinsic Reward (DISDAIN).

This repo is for members of the rl-implementation channel on MLC Discord to play with RL algorithms and learn.

contains code and documentation for the Qualcomm tutorial sessions

cheat sheet