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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
VIP cheatsheets for Stanford's CS 229 Machine Learning
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
❤️ 1000+ Hand-Crafted Go Examples, Exercises, and Quizzes. 🚀 Learn Go by fixing 1000+ tiny programs.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Train transformer language models with reinforcement learning.
Machine Learning Engineering Open Book
TranslatedQiu Xipeng's "Neural Networks and Deep Learning" (神经网络与深度学习), Second Edition and General Edition: e-book, chapter table of contents, learning resources, and errata.
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
High-performance In-browser LLM Inference Engine
An open source cybersecurity protocol for syncing decentralized graph data.
A WebGL accelerated JavaScript library for training and deploying ML models.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
TranslatedAbu Quantitative Trading System (stocks, options, futures, Bitcoin, machine learning) An open-source quantitative trading and quantitative investment architecture based on Python
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
The absolute trainer to light up AI agents.
Translated[🔥updating ...] AI automated quantitative trading robot (fully local deployment) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Fast and accurate AI powered file content types detection
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research