war3gu Goto Github PK

alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4

apitable

🚀🎉📚 APITable, an API-oriented low-code platform for building collaborative apps and better than all other Airtable open-source alternatives.

arcade-learning-environment

The Arcade Learning Environment (ALE) -- a platform for AI research.

async-rl

Variation of "Asynchronous Methods for Deep Reinforcement Learning" with multiple processes generating experience for agent (Keras + Theano + OpenAI Gym)[1-step Q-learning, n-step Q-learning, A3C]

atari

AI research environment for the Atari 2600 games 🤖.

attention

some attention implements

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

batch-ppo

Efficient Batched Reinforcement Learning in TensorFlow

btgym

OpenAI Gym environment for Backtrader trading platform

chatgpt-api

Node.js client for the official ChatGPT API. 🔥

chatofpomelo

chat application of pomelo

cocos-example-projects

cocos-test-projects

connect4-alpha-zero

Connect4 reinforcement learning by AlphaGo Zero methods.

csp_detector

This is a simple vision of CSPNet for CVPR2019 《High-level Semantic Feature Detection:A New Perspective for Pedestrian Detection》

curvesgenerator

Common used curves for motion planning.

ddpg

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

deep-q-learning

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

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-rl

Collection of Deep Reinforcement Learning algorithms

deep-rl-keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepmind-lab

djangoforbeginners

Source code for Django For Beginners

dota-2-lua-abilities

A repository for creating Dota 2 Lua abilities.

dqn-atari

A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well

drl

examples

Examples for Bazel

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐