HouSo1in

HouSo1in's Stars

• Vanessa219/vditor

  ♏ 一款浏览器端的 Markdown 编辑器，支持所见即所得（富文本）、即时渲染（类似 Typora）和分屏预览模式。An In-browser Markdown editor, support WYSIWYG (Rich Text), Instant Rendering (Typora-like) and Split View modes.

  Language:TypeScript8.2k853

• hinesboy/mavonEditor

  mavonEditor - A markdown editor based on Vue that supports a variety of personalized features

  Language:Vue6.4k917

• PaddlePaddle/PaddleOCR

  Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

  Language:Python42.4k7.7k

• DayBreak-u/chineseocr_lite

  超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M

  Language:C++11.7k2.2k

• chineseocr/chineseocr

  yolo3+ocr

  Language:Python5.9k1.7k

• nju-lug/NJUThesis

  南京大学学位论文模板

  Language:TeX44663

• wwxFromTju/awesome-reinforcement-learning-lib

  GitHub's code repository is all you need

  31237

• quantumiracle/Popular-RL-Algorithms

  PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

  Language:Jupyter Notebook1.1k122

• Farama-Foundation/Minigrid

  Simple and easily configurable grid world environments for reinforcement learning

  Language:Python2.1k601

• alirezakazemipour/PPO-RND

  Random network distillation on Montezuma's Revenge and Super Mario Bros.

  Language:Python426

• hijkzzz/pymarl2

  Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

  Language:Python596113

• 2019ChenGong/RL-Paper-notes

  28730

• conwnet/github1s

  One second to read GitHub code with VS Code.

  Language:TypeScript22.8k864

• oxwhirl/pymarl

  Python Multi-Agent Reinforcement Learning framework

  Language:Python1.8k380

• deligentfool/dqn_zoo

  The implement of all kinds of dqn reinforcement learning with Pytorch

  Language:Python8619

• cyoon1729/deep-Q-networks

  Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

  Language:Jupyter Notebook26878

• sweetice/Deep-reinforcement-learning-with-pytorch

  PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

  Language:Python3.8k838

• Gouet/QMIX-Starcraft

  Language:Python185

• starry-sky6688/MARL-Algorithms

  Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

  Language:Python1.4k279

• facebookresearch/torchbeast

  A PyTorch Platform for Distributed RL

  Language:Python737113

• iffiX/machin

  Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

  Language:Python39551

• uvipen/Super-mario-bros-A3C-pytorch

  Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

  Language:Python1k228

• Kautenja/gym-super-mario-bros

  An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES

  Language:Python676133

• uvipen/Street-fighter-A3C-ICM-pytorch

  Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike

  Language:Python16024

• LantaoYu/MARL-Papers

  Paper list of multi-agent reinforcement learning (MARL)

  3.9k719

• kristery/Awesome-Imitation-Learning

  A curated list of awesome imitation learning resources and publications

  50660

• Khrylx/PyTorch-RL

  PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

  Language:Python1.1k186

• tigerneil/awesome-deep-rl

  For deep RL and the future of AI.

  Language:HTML1.4k217

• halfrost/Halfrost-Field

  ✍🏻 这里是写博客的地方 —— Halfrost-Field 冰霜之地

  Language:Go12.9k1.9k

• TrickyGo/Dive-into-DL-TensorFlow2.0

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

  Language:Jupyter Notebook3.8k820