1763 Open source projects that are alternatives of or similar to Atari

AI各领域学习资料整理。（A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.）

Awesome free machine learning and AI courses with video lectures.

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

60_Days_RL_Challenge中文版

Neural Network built in Apple Playground using Swift

Data transformations for the ML era

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

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

A package built on top of Hugging Face's transformer library that makes it easy to utilize state-of-the-art NLP models

Reinforcement learning framework to accelerate research

A life simulation for exploring social dynamics

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

Solving OpenAI Gym problems.

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有：机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

螺旋论（theory of helix）—— “熵减机理论（可用来构建AGI、复杂性系统等）”

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

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

A collection of multi agent environments based on OpenAI gym.

PyTorch Implementation of REINFORCE for both discrete & continuous control

Python Implementation of Reinforcement Learning: An Introduction

DepthAI Python API utilities, examples, and tutorials.

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Run OpenAI Gym on a Server

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

Logarithmic Reinforcement Learning

AI & Deep Learning Enthusiasts Meetup Project & Study Sessions

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

Extensible Combinatorial Optimization Learning Environments

😎 A curated list of awesome MLOps tools

OpenNARS for Research 3.0+

Deep Neuroevolution

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

RAD: Reinforcement Learning with Augmented Data

The MacGraph network. An attempt to get MACnets running on graph knowledge

Visualizer for neural network, deep learning, and machine learning models

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Mastering Atari with Discrete World Models

Highly Modular and Scalable Reinforcement Learning

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

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

강화학습에 대한 기본적인 알고리즘 구현

Reinforcement Learning Cheat Sheet

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

🤖 Implements of Reinforcement Learning algorithms.

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

Deep Learning Computer Vision Algorithms for Real-World Use

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

PyTorch implementation of Soft Actor-Critic (SAC)

Awesome Game AI materials of Multi-Agent Reinforcement Learning

Model Serving Made Easy

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

AI Code Completions

A working implementation of the Categorical DQN (Distributional RL).

Char-level RNN LSTM text generator📄.

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