Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
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- development
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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A complete computer science study plan to become a software engineer.
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
TranslatedJava interview & general backend interview guide, covering computer fundamentals, databases, distributed systems, high concurrency, system design, and AI application development
Curated coding interview preparation materials for busy software engineers
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Clean Code concepts adapted for JavaScript
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
List of Computer Science courses with video lectures.
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
Translated《动手学深度学习》 (Dive into Deep Learning): for Chinese readers, runnable, and open to discussion. The Chinese and English editions are used for teaching at more than 500 universities in more than 70 countries.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Translated😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | A complete primer on advanced knowledge for internet Java engineers: covering high concurrency, distributed systems, high availability, microservices, massive data processing, and other areas
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Learn AI Engineering! Learn it. Build it. Ship it for others.
A curated list of awesome Machine Learning frameworks, libraries and software.
12 Weeks, 24 Lessons, AI for All!
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
📜 33 JavaScript concepts every developer should know.
Everything you need to know to get the job.
Translated👩🏿💻👨🏾💻👩🏼💻👨🏽💻👩🏻💻List of Chinese independent developer projects -- sharing what everyone is working on
TranslatedDeep Learning 500 Questions: in question-and-answer form, it covers hot topics in commonly used probability, linear algebra, machine learning, deep learning, computer vision and more, to help myself and readers who need it. The book is divided into 18 chapters and has more than 500,000 characters. Due to limited ability, readers are kindly asked to criticize and correct any improper parts of the book. To be continued............ If you are interested in cooperating, contact [email protected]. All rights reserved, infringement will be prosecuted. Tan 2018.06
100 Days of ML Coding
A collection of learning resources for curious software engineers