Eden980429

Eden980429's Stars

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java147k45.6k

• lenve/VBlog

  V部落，Vue+SpringBoot实现的多用户博客管理平台!

  Language:Java7.3k2.9k

• ZHENFENG13/My-Blog

  :palm_tree::octocat:A simple & beautiful blogging system implemented with spring-boot & thymeleaf & mybatis My Blog 是由 SpringBoot + Mybatis + Thymeleaf 等技术实现的 Java 博客系统，页面美观、功能齐全、部署简单及完善的代码，一定会给使用者无与伦比的体验

  Language:Java3.7k991

• CodingDocs/awesome-java

  Collection of awesome Java project on Github(非常棒的 Java 开源项目集合).

  8.9k1.6k

• sjsdfg/CS-Notes-PDF

  https://github.com/CyC2018/CS-Notes PDF版本离线阅读

  2.6k780

• Hironsan/bertsearch

  Elasticsearch with BERT for advanced document search.

  Language:Python897202

• yao8839836/kg-bert

  KG-BERT: BERT for Knowledge Graph Completion

  Language:Python697141

• FeiSun/BERT4Rec

  BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

  Language:Python613159

• Dokyyy/IPDALight

  IPDALight for traffic signal control

  Language:Python164

• HazyResearch/hippo-code

  Language:Python16730

• williamFalcon/DeepRLHacks

  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

  1.1k123

• xcanwin/KeepChatGPT

  这是一款提高ChatGPT的数据安全能力和效率的插件。并且免费共享大量创新功能，如：自动刷新、保持活跃、数据安全、取消审计、克隆对话、言无不尽、净化页面、展示大屏、拦截跟踪、日新月异、明察秋毫等。让我们的AI体验无比安全、顺畅、丝滑、高效、简洁。

  Language:JavaScript14.6k728

• dcliu99/MSDR

  Implementation for MSDR

  Language:Python257

• imarvinle/awesome-cs-books

  🔥 经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

  17.6k2.5k

• tflearn/tflearn

  Deep learning library featuring a higher-level API for TensorFlow.

  Language:Python9.6k2.4k

• DA-southampton/Tech_Aarticle

  主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。

  1.7k328

• DA-southampton/NLP_ability

  总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

  Language:Python6.9k1.2k

• ToruOwO/marl-ae-comm

  PyTorch implementation for all models and environments in the paper "Learning to Ground Multi-Agent Communication with Autoencoders"

  Language:Python4310

• UnrealTracking/ToM2C

  The offcial implementation of "ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind" (ICLR 2022) .

  Language:Python5610

• PKU-RL/I2C

  Language:Python4112

• yuchen-x/MacroMARL

  Language:Python21

• yuchen-x/MacDeepMARL

  Language:Python5

• ShangtongZhang/DeepRL

  Modularized Implementation of Deep RL Algorithms in PyTorch

  Language:Python3.2k682

• traffic-signal-control/RL_signals

  All you need to know about Reinforcement Learning for Traffic Signal Control. https://traffic-signal-control.github.io/

  14326

• zhuliwen/RoadnetSZ

  Language:Python3721

• parametersharingmadrl/parametersharingmadrl

  Language:Python259

• uber-research/D3G

  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients

  Language:Python304

• mlii/mfrl

  Mean Field Multi-Agent Reinforcement Learning

  Language:Python377100

• jiechuanjiang/I2Q

  I2Q: A Fully Decentralized Q-Learning Algorithm

  Language:Python132

• gsavarela/networked_agents

  Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents

  Language:Python71