An Information Security Reference That Doesn't Suck; https://rmusser.net/git/admin-2/Infosec_Reference for non-MS Git hosted version.
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An Information Security Reference That Doesn't Suck; https://rmusser.net/git/admin-2/Infosec_Reference for non-MS Git hosted version.
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
Curated list of 20,000+ hours and 200+ free courses with certificates in IT, CS, Design and Business.
A curated list of fuzzing resources ( Books, courses - free and paid, videos, tools, tutorials and vulnerable applications to practice on ) for learning Fuzzing and initial phases of Exploit Development like root cause analysis.
😎🏖️🐬 Your new, 𝙧𝙞𝙙𝙤𝙣𝙠𝙪𝙡𝙞𝙘𝙞𝙤𝙪𝙨𝙡𝙮 smart clipboard manager
An Open-Source Collection of Flash Cards to Help You Preparing Your Algorithms & Data Structures and System Design Interviews 💯
:dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
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.
Translated:books: 《Go语言定制指南》 (Go Language Customization Guide) (formerly titled: Introduction to Go Syntax Trees / Open-Source Free Book / Advanced Go / Mastering Abstract Syntax Trees / Go Language AST)
A collection of AWESOME things about domain adaptation
A curated list of awesome CMake resources, scripts, modules and examples.
TranslatedShadowrocket User Manual Completion Project
Collection of Linux Sysadmin/DevOps interview questions
A list of D3 libraries, plugins and utilities
The Mobile App Pentest cheat sheet was created to provide concise collection of high value information on specific mobile application penetration testing topics.
JavaScript interview Questions
R for data science: a book
Promise packages, patterns, chat, and tutorials
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
CSS talks you have to see covering CSS Grid, flexbox, custom variables, performance, frameworks, tooling, and more! 📺
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of hacking environments where you can train your cyber skills legally and safely
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;