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Tongji University
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Lua/Torch implementation of DQN (Nature, 2015)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Code and links for over 25,000 trained Atari agents
Tongji Univ. Undergraduate Graduation Project 2021. | 🎉含: 同济er毕设答辩PPT模板
这里是同济大学软件学院2022级数据库课程设计项目——FitFIt,您的AI健身管家
同济大学软件学院软件工程专业课所有作业和项目,包括以下内容:数据结构,数据结构课程设计,计算机组成原理,计算机组成原理实验,程序设计范式,离散数学,Python,操作系统,操作系统课程设计,计算机系统结构,系统分析与设计,数据库原理与应用,数据库原理与应用课程设计,算法分析设计,人工智能导论,计算机网络,计算机网络实验,软件工程,软件工程课程设计,软件设计模式,智能计算系统,编译原理,嵌入式…
AI 低代码平台「低代码 + 零代码」双驱动!低代码可一键生成前后端代码;零代码可 5 分钟搭建系统;AI Skills 一句话画流程、设计表单、生成整套系统。内置 AI聊天、知识库、流程编排、MCP插件等,兼容主流大模型。引领「AI 生成 → 在线配置 → 代码生成 → 手工合并->AI修改」开发模式,消除 Java 项目 80% 的重复工作,提效而不失灵活。
【Java面试+Java后端技术学习指南】:一份通向理想互联网公司的面试指南,包括 Java,技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、分布式、数据库(MySQL、Redis)、Java 项目实战等
Interface-Driven OS Kernel for AI-Assisted Learning | 面向 AI 的操作系统学习项目
「Java面试小抄」一份通向理想互联网公司的面试汇总,包括 Java基础、Java并发、JVM、MySQL、Redis、Spring、MyBatis、Kafka、计算机操作系统、计算机网络、系统设计、分布式、Java 项目实战等
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
[ACL 2025 Main] ControlSpeech: Towards Simultaneous Zero-shot Speaker Cloning and Zero-shot Language Style Control With Decoupled Codec
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Convert PDF to markdown + JSON quickly with high accuracy
DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.
Master the command line, in one page
一款对应力扣的浏览器油猴插件| TamperMonkey | Chrome
Source codes for book <<<BeginningAlgorithmContests>> Second edition
OpenMMLab Detection Toolbox and Benchmark
Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018


