AI projects in python, mostly Jupyter notebooks.

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Official code implementation of "Tree-based Focused Web Crawling with Reinforcement Learning" and the TRES framework

Practicing various RL algorithms

PushWorld: A benchmark for manipulation planning with tools and movable obstacles

Implementation of Dreamer v3 in pytorch.

Deep RL for MPC control of Quadruped Robot Locomotion

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Modular and flexible reinforcement learning library with support for Isaac Gym and Omniverse Isaac Gym environments

A library for neuroscience-inspired navigation and decision making research.

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

SAPIEN Manipulation Skill Benchmark 2

World4AI is an educational resource for AI.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

Louis' AI Toolbox, a highly modular library of AI algorithms written from scratch with explainers.

The repository for the Physics-Regulated Interpretable Machine Learning Microstructure Evolution (PRIMME) framework for learning and emulating microstructure grain growth.

Library of Environments, Human Actor UIs and Agent implementation for Human In the Loop Learning & Reinforcement Learning

Multi-objective Gymnasium environments for reinforcement learning

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Reinforcement learning library from Embark Studios

A demonstration of some prominent reinforcement learning algorithms

training program on machine learning (ML) from holberton School

Reinforcement Learning with Model Predictive Control

a modular reinforcement learning library with JAX agents

Reinforcement learning algorithms