Python tree data library

Linux技术栈

Interpreter for a BASIC-inspired language written in Python for my tutorial series on YouTube

Third edition of the Computer Networking: Principles, Protocols and Practice ebook

TCP Testsuite for FreeBSD based on Packetdrill

Satori 是一个 LeanCloud 维护的监控系统，inspired by Open-Falcon

【超全golang面试题合集+golang学习指南+golang知识图谱+入门成长路线】 一份涵盖大部分golang程序员所需要掌握的核心知识。常用第三方库(mysql,mq,es,redis等)+机器学习库+算法库+游戏库+开源框架+自然语言处理nlp库+网络库+视频库+微服务框架+视频教程+音频音乐库+图形图片库+物联网库+地理位置信息+嵌入式脚本库+编译器库+数据库+金融库+电子邮件库…

linux 3.10 with excessive comments for tcp/ip stack

linux内核学习资料：200+经典内核文章，100+内核论文，50+内核项目，500+内核面试题，80+内核视频

This extension is developed for AUTOMATIC1111's Stable Diffusion web UI that provides import/export options for parameters.

An In-depth Analysis of Diffusion Probability Model

a lightweight LLM model inference framework

Lightweight condition parsing and building of evaluation expressions

The Linux Kernel Module Programming Guide (updated for 5.0+ kernels)

This Directory contains the tutorials posted in www.embetronicx.com

Tool to dynamicly redirect outputs of a running process

Simple Safe Sandboxed Extensible Expression Evaluator for Python

Kodi is an award-winning free and open source home theater/media center software and entertainment hub for digital media. With its beautiful interface and powerful skinning engine, it's available f…

QML web browser

Klassy is a highly customizable binary Window Decoration, Application Style and Global Theme plugin for recent versions of the KDE Plasma desktop.

中文独立博客列表

Penpot: The open-source design tool for design and code collaboration

maybe a new fcitx.

Parallel computing with task scheduling

Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)

A hyperparameter optimization framework

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A highly efficient implementation of Gaussian Processes in PyTorch

Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"

Bayesian optimization in PyTorch