Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
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Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
系统性的 PHP 技术面试问答大全(面经)。涵盖 PHP8、MySQL、Redis、Nginx、系统设计、算法、Laravel 源码及高并发架构原理,助你斩获后端研发 Offer。PHP Interview Questions & Answers.
The best library for implementation of all Data Structures and Algorithms - Trees + Graph Algorithms too!
📚 《Deep Agents 实战》—— LangChain 官方大使出品,基于 LangChain / LangGraph 生态,从零构建生产级 AI Agent 的完整指南
Next.js recently became the official React framework as outlined in React docs. In this course, you'll learn the most important Next.js concepts and how they fit into the React ecosystem. Finally, you'll put your skills to the test by building a modern full-stack Next 14 application.
Full Stack Python source with Pelican, Bootstrap and Markdown.
Papers and Datasets about Point Cloud.
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
清华大学计算机系考研攻略 Guidance for postgraduate entrance examination in Department of Computer Science and Technology, Tsinghua University
This repository aims to hold suggestions (and hopefully/eventually code) for CTF challenges. The "project" is nicknamed Katana.
Repo for AI Agents The Definitive Guide
HTML5 Security Cheatsheet - A collection of HTML5 related XSS attack vectors
A collection of powerful data structures
Udacity Self-Driving Car Engineer Nanodegree projects.
A completely free, open source and online course about Reverse Engineering iOS Applications.
A curated list of awesome anomaly detection resources
A curated list of resources for Image and Video Deblurring
How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
Implementation of papers in 100 lines of code.
Guia de Front-end: trilhas, cursos, livros, canais, ferramentas e comunidades para você entrar e evoluir na área.
A chess library for Python, with move generation and validation, PGN parsing and writing, Polyglot opening book reading, Gaviota tablebase probing, Syzygy tablebase probing, and UCI/XBoard engine communication
Matplotlib 3.1 cheat sheet.
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
GitHub's Web Component collection.