1326 Open source projects that are alternatives of or similar to Flappy Es

和（he for objective-c） —— “信息熵减机系统”

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

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

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

Grokking Deep Reinforcement Learning

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

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.

AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

Mastering Atari with Discrete World Models

Multiple implementations for abstractive text summurization , using google colab

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

A C++ framework for MDPs and POMDPs with Python bindings

StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)

Resources to learn more about Machine Learning and Artificial Intelligence

Deep Reinforcement Learning Framework + Algorithms

Efficient Batched Reinforcement Learning in TensorFlow

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

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

Some notebooks

Our NIPS 2017: Learning to Run source code

Carefully curated resource links for data science in one place

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.）

Dream to Control: Learning Behaviors by Latent Imagination

Learning to Cluster. A deep clustering strategy.

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

60_Days_RL_Challenge中文版

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

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

A Configurable Recommender Systems Simulation Platform

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

Arnold - DOOM Agent

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

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

Seoul AI Gym is a toolkit for developing AI algorithms.

Essential Guide to keep up with AI/ML/DL/CV

List of summer schools in machine learning + related fields across the globe

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

PHP-ML - Machine Learning library for PHP

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

Composable GAN framework with api and user interface

Codebase for the Summary Loop paper at ACL2020

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Artificial intelligence for the Snake game.

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

Some of the ML and DL related reading materials, research papers that I've read

Reinforcement Learning Cheat Sheet

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

A fast Evolution Strategy implementation in Python

Cornell Instruction Following Framework

A selection of state-of-the-art research materials on decision making and motion planning.

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