zzqCh's starred repositories
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。
The-Art-of-Linear-Algebra-zh-CN
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
project-based-learning
Curated list of project-based tutorials
jmeter-grpc-request
JMeter gRPC Request load test plugin for gRPC
luac-parser-rs
lua bytecode parser written in Rust using nom, part of metaworm's lua decompiler, support lua51/lua52/lua53/lua54/luajit/luau https://luadec.metaworm.site/
excalidraw
Virtual whiteboard for sketching hand-drawn like diagrams
system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
MockingBird
🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
rust-course
“连续六年成为全世界最受喜爱的语言,无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。<<Rust语言圣经>>拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容,甚至还有JS程序员关注的 WASM 和 Deno 等专题。这可能是目前最用心的 Rust 中文学习教程 / Book
linkerd2-proxy
A purpose-built proxy for the Linkerd service mesh. Written in Rust.
Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
dante-cloud
Dante Cloud 国内首个支持阻塞式和响应式融合的微服务 。以「高质量代码、低安全漏洞」为核心,采用领域驱动模型(DDD)设计**,完全基于 Spring 生态全域开源技术和 OAuth2.1 协议,支持智能电视、IoT等物联网设备认证,满足国家三级等保要求、支持接口国密数字信封加解密、防刷、高防XSS和SQL注入等一系列安全体系的多租户微服务解决方案。
visualblocks
Visual Blocks for ML is a Google visual programming framework that lets you create ML pipelines in a no-code graph editor. You – and your users – can quickly prototype workflows by connecting drag-and-drop ML components, including models, user inputs, processors, and visualizations.
openobserve
🚀 10x easier, 🚀 140x lower storage cost, 🚀 high performance, 🚀 petabyte scale - Elasticsearch/Splunk/Datadog alternative for 🚀 (logs, metrics, traces, RUM, Error tracking, Session replay).