Stars
#1 Locally hosted web application that allows you to perform various operations on PDF files
语音打卡社群维护的前端面试题库，包含不限于Vue面试题，React面试题，JS面试题，HTTP面试题，工程化面试题，CSS面试题，算法面试题，大厂面试题，高频面试题
前端面试每日 3+1，以面试题来驱动学习，提倡每日学习与思考，每天进步一点！每天早上5点纯手工发布面试题（死磕自己，愉悦大家），6000+道前端面试题全面覆盖，HTML/CSS/JavaScript/Vue/React/Nodejs/TypeScript/ECMAScritpt/Webpack/Jquery/小程序/软技能……
An open-source user mode debugger for Windows. Optimized for reverse engineering and malware analysis.
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/
An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books,…
Incomplete Redis client and server implementation using Tokio - for learning purposes only
图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com
🌟 Wiki of OI / ICPC for everyone. （某大型游戏线上攻略，内含炫酷算术魔法）
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
本书已经正式出版，目前正预售，可在京东搜索《深入RUST标准库》即可。本书主要对RUST的标准库代码进行分析，并试图给出RUST标准库代码的分析脉络。This project try to give a venation of how reading the RUST standard library source code.
Interpretability for sequence generation models 🐛 🔍
The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems
Automation scripts and benchmark dataset package for cancer drug prediction deep learning models.
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Build high-performance AI models with modular building blocks
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Official implementation of OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
[Arxiv 2024] Official pytorch implementation of "VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models"
A Library for Advanced Deep Time Series Models.