Stars
A book for Learning the Foundations of LLMs
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
🔥 🎉newbee-mall是一套电商系统，包括基础版本(Spring Boot+Thymeleaf)、前后端分离版本(Spring Boot+Vue 3+Element-Plus+Vue-Router 4+Pinia+Vant 4) 、秒杀版本、Go语言版本、微服务版本(Spring Cloud Alibaba+Nacos+Sentinel+Seata+Spring Cloud Gatew…
kaonashi-tyc / gluon-tutorials-zh
Forked from d2l-ai/d2l-zh《动手学深度学习》
AI education materials for Chinese students, teachers and IT professionals.
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
Python - 100天从新手到大师
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
📡 Simple and ready-to-use tutorials for TensorFlow
100-Days-Of-ML-Code中文版
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…
📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】
A complete computer science study plan to become a software engineer.
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Turi Create simplifies the development of custom machine learning models.
A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes
第一个完整的react-native项目。包括服务端和移动端两部分。服务端使用express+bootstrap进行搭建，主要功能有登录、退出、模块选择、查看、修改、删除、分页等后台管理的基本功能；移动端主要用到组件View、Text、Image、ScrollView、ListView等常用的组件，也使用了第三方的地图服务(高德地图)，作为初学者。是一个很好的学习案例。
The code samples for Learning React by Alex Banks and Eve Porcello, published by O'Reilly Media
more than a live-reload server, built for efficient front-end development
A Golang tool that does static analysis, unit testing, code review and generate code quality report.
Now we have become very big, Different from the original idea. Collect premium software in various categories.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.