独立开发/出海开发相关技术栈及工具收录 / Find the best tools for indie hackers here

为独立开发者准备的精选技术栈和工具仓库来了！这里有你最需要的工具，帮你提升开发效率、节约成本，最重要的是——这些工具都是市场上热门的，经过验证的。🚀A curated collection of tech stacks and tools tailored for independent developers is here! these are proven, popular tools …

收录独立开发者出海技术栈和工具

Effective Java（第3版）各章节的中英文学习参考（已完成）

📚 本代码库是作者小傅哥多年从事一线互联网 Java 开发的学习历程技术汇总，旨在为大家提供一个清晰详细的学习教程，侧重点更倾向编写Java核心内容。如果本仓库能为您提供帮助，请给予支持(关注、点赞、分享)！

ArchGuard is a architecture workbench, also for architecture governance, which can analysis architecture in container, component, code level, create architecure fitness functions, and anaysis syste…

Netty project - an event-driven asynchronous network application framework

无锁异步化、事件驱动架构设计的 java netty 网络编程框架； 轻量级，无需依赖任何第三方中间件或数据库就能支持集群、分布式； 适用于网络游戏服务器、物联网、内部系统及各种需要长连接的场景； 通过 ioGame 你可以很容易的搭建出一个集群无中心节点、集群自动化、分布式的网络服务器；FXGL、Unity、UE、Cocos Creator、Godot、Netty、Protobuf、web…

Porter是一款数据同步中间件，主要用于解决同构/异构数据库之间的表级别数据同步问题。

Soot - A Java optimization framework

Enterprise job scheduling middleware with distributed computing ability.

豆瓣读书的爬虫

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

基于豆瓣图书的推荐、知识图谱与知识引擎简单构建neo4j

My research paper notes, focusing on data mining/recommender/reinforcement learning. 我的论文笔记，主要聚焦于数据挖掘、推荐系统、强化学习

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

A tensorflow implementation of GCN-LPA

Disentagnled Graph Collaborative Filtering, SIGIR2020

code of HetGNN

Datasets and code for AGNN

Datasets and code for AGNN

Source code for HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. SIGIR 2022.

SGL PyTorch version

Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”

A large-scale knowledge repository for adaptive learning, learning analytics, and knowledge discovery in MOOCs, hosted by THU KEG.