llama3 implementation one matrix multiplication at a time
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A FREE comprehensive reverse engineering tutorial covering x86, x64, 32-bit/64-bit ARM, 8-bit AVR and 32-bit RISC-V architectures.
- reverse-engineering
- hacking
- x86
- x64
Translatedflink learning blog. http://www.54tianzhisheng.cn/ Covers Flink introduction, concepts, principles, hands-on practice, performance tuning, source code analysis, and more. Includes learning examples involving Flink Connector, Metrics, Library, DataStream API, Table API & SQL, and also shares large-scale project cases of Flink in production (PV/UV, log storage, real-time deduplication of 10 billion records, monitoring and alerting). You are welcome to support my column 《大数据实时计算引擎 Flink 实战与性能优化》 ("Big Data Real-Time Computing Engine Flink: Hands-On Practice and Performance Optimization")
Natural Language Processing Tutorial for Deep Learning Researchers
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
- deep-reinforcement-learning
- reinforcement-learning
- dqn
- ppo
TranslatedLlama Chinese community: compiles the latest Llama learning materials in real time and builds the best open-source ecosystem of Chinese Llama large models, fully open source and commercially usable
Learning operating system development using Linux kernel and Raspberry Pi
Community guide to using YubiKey for GnuPG and SSH - protect secrets with hardware crypto.
- yubikey
- gpg
- gnupg
- ssh
Pocket Flow: Codebase to Tutorial
TranslatedAirport recommendations, Clash / V2ray client configuration, and proxy tool guides
- clash
- documentation
- mihomo
- proxy
Code documentation written as code! How novel and totally my idea!
An educational resource to help anyone learn deep reinforcement learning.
Good ideas for iOS development, by Futurice developers.
- best-practices
- swift
- objective-c
- ios
This guide details creating a secure Linux production system. OpenSCAP (C2S/CIS, STIG).
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
45+ tips for getting the most out of Claude Code, from basics to advanced - includes a custom status line script and Claude Code running itself in a container. Also includes the dx plugin: skills for everyday dev workflows.
- agentic
- agentic-ai
- agentic-coding
- agentic-workflow
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
TranslatedSimple Reinforcement learning tutorials, 莫烦Python (Mofan Python, "don't be annoyed Python") Chinese AI teaching
- reinforcement-learning
- tutorial
- q-learning
- sarsa
DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.
TensorFlow Tutorials with YouTube Videos
TranslatedProgrammer Yupi's (程序员鱼皮) programming handbook ⭐️ The most complete programming learning roadmap for 2026! Includes learning roadmaps for Java, front-end, Python, C++, algorithms, computer fundamentals, AI application development, AI Agent development, and more. Provides programming beginner tutorials, AI large model application development tutorials, hands-on RAG development, MCP development tutorials, Prompt engineering guides, LLM application development, technical knowledge sharing, learning resource recommendations, hands-on project tutorials, popular interview questions, job-hunting experience, résumé optimization, programming self-study guides, and more. Suitable for everyone who is learning programming from zero, learning AI development, switching careers to become a programmer, computer science students, and anyone looking for a job 💎 To learn programming, come to 编程导航 (Programming Navigation)!
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
A collection of machine learning examples and tutorials.
My blogs and code for machine learning. http://cnblogs.com/pinard
- machinelearning
- algorithms
- scikit-learn
- reinforcementlearning