TranslatedThis project aims to share the technical principles of large models and practical experience (large model engineering, large model application deployment).
- llm
- llm-inference
- llm-serving
- llm-training
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TranslatedThis project aims to share the technical principles of large models and practical experience (large model engineering, large model application deployment).
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
🐬 A collection of awesome resources for the Flipper Zero device.
📗🌐 🚢 Comprehensive and exhaustive JavaScript & Node.js testing best practices (August 2025)
A brief computer graphics / rendering course
A curated list of amazingly awesome open source sysadmin resources inspired by Awesome PHP.
Translated✅ (Completed) Super comprehensive deep learning notes [Tudui PyTorch] [Li Mu Dive into Deep Learning] [Andrew Ng Deep Learning] [Dafei LLM Agent]
This repository consists of the code samples, assignments, and notes for the Java data structures & algorithms + interview preparation bootcamp of WeMakeDevs.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A curated collection of fun and creative examples generated with Nano Banana & Nano Banana Pro🍌, Gemini-2.5-flash-image based model. We also release Nano-consistent-150K openly to support the community's development of image generation and unified models(click to website to see our blog)
TranslatedWelcome to the E-book Download Treasure Chest, a place that gathers download links for all kinds of e-books. Whether you like reading classic literature, economics and management, self-improvement, lifelong learning, career and entrepreneurship, technical manuals, or other types of books, you can find what you need here. The repository covers most of the e-books from reading apps such as 帆书app (Fanshu app, formerly 樊登读书, Fan Deng Reading), WeChat Reading, JD Reading, and Ximalaya.
System design interview for IT companies
Mostly adequate guide to FP (in javascript)
Video discussing this curriculum:
A curated list of awesome computer vision resources
Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs, WireGuard, Automation, Home Assistant, and Networking.
Checklist of the most important security countermeasures when designing, testing, and releasing your API
Microsoft REST API Guidelines
Translated😱 From the source code level, analyze and dig into the underlying implementation principles of mainstream technologies in the internet industry, making it convenient for developers to "improve their technical depth". Currently covers the Spring family of frameworks, the Mybatis, Netty, and Dubbo frameworks, and middleware such as Redis and Tomcat
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
completely free for everyone. Its build-in Flutter Dart.
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.