Repository Index

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")

• flink
• kafka
• elasticsearch
• spark

TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/

• deep-reinforcement-learning
• reinforcement-learning
• dqn
• ppo

TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/

• langchain
• rag

Microservice Architecture with Spring Boot, Spring Cloud and Docker

• spring-boot
• spring-cloud
• microservices
• docker

Community guide to using YubiKey for GnuPG and SSH - protect secrets with hardware crypto.

• yubikey
• gpg
• gnupg
• ssh

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

• pytorch
• pytorch-tutorials
• pytorch-tutorials-cn
• deep-learning

Translated:books: This repository is a summary of the technical learning journey of the author, Xiao Fuge (小傅哥), from many years of working in front-line internet Java development. It aims to give everyone a clear and detailed learning tutorial, with a focus on writing about core Java content. If this repository helps you, please show your support (follow, like, share)!

• java
• javafx
• spring
• mybaits

FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more. Translations: 🇺🇸 🇨🇳 🇰🇷 🇪🇸 🇻🇳 🇧🇷 🇷🇺

• ffmpeg
• ffmpeg-libraries
• libav
• tutorial

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).

• linux
• linux-hardening
• linux-security
• security

TranslatedPython scripts. Simulated login to Zhihu, web crawlers, working with Excel, WeChat official accounts, remote power-on

• python
• crawler
• wechat
• excel

TranslatedThe Modern JavaScript Tutorial, based on the latest ECMAScript specification, explains JavaScript knowledge from the basics to advanced topics through content that is simple but sufficiently detailed.

• javascript
• tutorial
• chinese

How to systematically secure anything: a repository about security engineering

• security-engineering
• security-architecture
• secure-systems
• threat-modeling

TensorFlow tutorials and best practices.

• tensorflow
• neural-network
• deep-learning
• machine-learning

Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.

• go
• golang
• ddd
• clean-architecture

The repository host gives no description.

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

:computer: :mortar_board: Git-it is a (Mac, Win, Linux) Desktop App for Learning Git and GitHub

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

• machine-learning
• deep-learning
• lstm
• human-activity-recognition

XDP tutorial

• xdp
• bpf
• libbpf
• tutorial

TensorFlow Tutorials

• tensorflow-tutorials
• convolutional-neural-networks
• recurrent-neural-networks

A collection of succinct guides - Public Domain

Guidelines and training material to write secure smart contracts