Stars
仅需Python基础,从0构建大语言模型;从0逐步构建GLM4\Llama3\RWKV6, 深入理解大模型原理
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
动手学Ollama,CPU玩转大模型部署,在线阅读地址:https://datawhalechina.github.io/handy-ollama/
Learn Low Level Design (LLD) and prepare for interviews using free resources.
FastBee开源物联网平台,简单易用,可用于搭建物联网平台以及二次开发和学习。适用于智能家居、智慧办公、智慧社区、农业监测、水利监测、工业控制等。
lsFusion is an extremely declarative open-source language-based platform for information systems development
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Making large AI models cheaper, faster and more accessible
Midstream of https://github.com/apache/incubator-kie-optaplanner
Security Guide for Developers (实用性开发人员安全须知)
📚 经典技术书籍 PDF 文件,持续更新...
A pure Unix shell script implementing ACME client protocol
OpenCore Hackintosh EFI For Gigabyte Z690I Aorus
AWX provides a web-based user interface, REST API, and task engine built on top of Ansible. It is one of the upstream projects for Red Hat Ansible Automation Platform.
Linux应急处置/信息搜集/漏洞检测工具,支持基础配置/网络流量/任务计划/环境变量/用户信息/Services/bash/恶意文件/内核Rootkit/SSH/Webshell/挖矿文件/挖矿进程/供应链/服务器风险等13类70+项检查
😱 从源码层面,剖析挖掘互联网行业主流技术的底层实现原理,为广大开发者 “提升技术深度” 提供便利。目前开放 Spring 全家桶,Mybatis、Netty、Dubbo 框架,及 Redis、Tomcat 中间件等
一位酷爱做饭的程序员,立志用动画将算法说的通俗易懂。我的面试网站 www.chengxuchu.com
IOT(internet of things) platform based on Node-Red, Easy but very useful to built a iot system
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
HttpRunner 是一个开源的 API/UI 测试工具,简单易用,功能强大,具有丰富的插件化机制和高度的可扩展能力。
🌍 针对小白的算法训练 | 包括四部分:①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图(项目花了上百小时,希望可以点 star 支持,🌹感谢~)推荐免费ChatGPT使用网站
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Mirror of last LGPL/MPL iText release. NOTE: this is an static mirror of a project that changed licenses. No pull requests :(
Hackintosh long-term maintenance model EFI and installation tutorial