LiuJiacheng's Projects
GORM V1, V2 moved to https://github.com/go-gorm/gorm
Share your terminal as a web application
Chinese version of GPT2 training code, using BERT tokenizer.
this repository accompanies my forthcoming book "Grokking Deep Learning"
H2 is an embeddable RDBMS written in Java.
A small course on exploiting and defending neural networks
✍️ 这里是写博客的地方 —— Halfrost-Field 冰霜之地
✍ Halo 一款现代化的个人独立博客系统
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Haskell language features and standard libraries in pure Python.
:octocat: Find pearls on open-source seashore 分享 GitHub 上有趣、入门级的开源项目
A push parser for the HTTP 1.x protocol in Rust.
一款开源免费的输入法词库转换程序
An image to LaTeX tool by MathpixOCR API and JavaFX
IntelliJ IDEA 简体中文专题教程
📘《Python进阶》(Intermediate Python 中文版)
📚 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。
关于Python的面试题
Everything you need to know to get the job.
Design patterns implemented in Java
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
一款基于代码生成器的JAVA快速开发平台,开源界“小普元”超越传统商业企业级开发平台!采用前后端分离架构:SpringBoot 2.x,Ant Design&Vue,Mybatis-plus,Shiro,JWT。强大的代码生成器让前后端代码一键生成,无需写任何代码! 引领新的开发模式(OnlineCoding模式-> 代码生成器模式-> 手工MERGE智能开发),帮助Java项目解决70%的重复工作,让开发更多关注业务逻辑。既能快速提高开发效率,帮助公司节省成本,同时又不失灵活性。JeecgBoot还独创在线开发模式(No代码):在线表单配置(表单设计器)、移动配置能力、在线工作流配置(流程设计器)、在线报表配置、在线图表配置、插件能力(可插拔)等等
Easy JSON Query Processor with a Lispy syntax in Go
JSON for Modern C++
Console-based JVM monitoring
project to demonstrate error in JWT token handler validation in Microsoft.IdentityModel.Tokens package
A minimalist command line knowledge base manager
A Stable & Secure Tunnel based on KCP with N:M multiplexing and FEC. Available for ARM, MIPS, 386 and AMD64