1633 Open source projects that are alternatives of or similar to Gam

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Grokking Deep Reinforcement Learning

Machine learning, in numpy

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Unity Machine Learning Agents Toolkit

Repo for the Deep Reinforcement Learning Nanodegree program

RLgraph: Modular computation graphs for deep reinforcement learning

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

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

TensorFlow and Deep Learning Tutorials

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

tensorflow deep RL for driving a rover around

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Notes and comments about Deep Reinforcement Learning papers

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Artificial intelligence for the Snake game.

A Tensorfflow implementation of Attend, Infer, Repeat

My Solution to Assignments of CS234

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

Highly Modular and Scalable Reinforcement Learning

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

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

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Resources, papers, tutorials

Deep Reinforcement Learning (DRL) agents applied to medical images

An advanced program in Machine Learning and Deep Learning

Machine learning and data science blog.

MuZero

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.

Explore and find reinforcement learning environments in a list of 150+ open source environments.

🦄 State-of-the-Art Conversational AI with Transfer Learning

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

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

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

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

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Teach a Quadcopter How to Fly!

Complete-Life-Cycle-of-a-Data-Science-Project

Machine Learning notebooks for refreshing concepts.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

PyTorch implementation of Soft Actor-Critic (SAC)

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

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

Train an RL agent to localize actively (PyTorch)

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.