534 Open source projects that are alternatives of or similar to Icnn

The notes for Math, Machine Learning, Deep Learning and Research papers.

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Minimalistic gridworld package for OpenAI Gym

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

GPU Javascript Library for Machine Learning

ROS 2 enabled Machine Learning algorithms

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

Testbed for deep reinforcement learning

Implementing trajectory optimization on bipedal system

Resources, papers, tutorials

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Gridworld environments for OpenAI gym.

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Julia code for the book Reinforcement Learning An Introduction

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Unreal environments for reinforcement learning

Behavior Optimization and Learning for Robots

C51-DDQN in Keras

Mostly free resources for end-to-end machine learning engineering, including open courses from CalTech, Columbia, Berkeley, MIT, and Stanford (in alphabetical order).

Scalable Implementation of Deep CFR and Single Deep CFR

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Framework for building algorithms based on FractalAI

Sokoban environment for OpenAI Gym

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Deep Neuroevolution

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Resources on various topics being worked on at IvLabs

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.

Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

Master Thesis: Limit order placement with Reinforcement Learning

A structured implementation of MuZero

Seoul AI Gym is a toolkit for developing AI algorithms.

Using RGB Image as Visual Input for Mapless Robot Navigation

🔬 A curated list of awesome machine learning strategies & tools in financial market.

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

OpenAI Gym environments using DART

Machine learning, in numpy

Actor-Critic Instance Segmentation (CVPR 2019)

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

OpenAI's cartpole env solver.

Framework and OpenAI Gym Environment for Autonomous Vehicle Development

Classic papers and resources on recommendation

A universal flight control tuning framework

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)