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This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md
DevOps Roadmap for 2026. with learning resources
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Translated:rainbow:Python3 web crawler practice: Taobao, JD.com, NetEase Cloud Music, Bilibili, 12306, Douyin, Biquge, comic and novel downloads, music and movie downloads, etc.
Awesome list of open-source startup alternatives to well-known SaaS products 🚀
Machine Learning Engineering Open Book
TranslatedCode implementation of 《统计学习方法》 (Statistical Learning Methods)
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
One has no future if one couldn't teach themself.
A Study Path for Game Programmer
TranslatedIllustrated computer networks, operating systems, computer organization, and databases, with 1,000 diagrams + 500,000 characters, breaking down obscure and hard-to-understand computer fundamentals, so that no "bagu wen" (standard interview question essays) is hard to understand in the world! 🚀 Read online: https://xiaolincoding.com
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
💿 Free software that works great, and also happens to be open-source Python.
TranslatedAISystem mainly refers to AI systems, covering the full stack of underlying AI technologies, including AI chips, AI compilers, and AI inference and training frameworks
Code samples for my book "Neural Networks and Deep Learning"
Examples and guides for using the Gemini API
TranslatedDeep Learning Tutorial, excellent articles
A list of open source games.