Toturials coming with the "data science roadmap" picture.
Repository Index
47,133 repositories indexed
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A curated list of resources for learning about application security
- security-experts
- reading-list
- curated
- application-security
Largest list of models for Core ML (for iOS 11+)
- coreml
- coreml-model
- apple
- machine-learning
Step-by-step guide through the abstract and complex universe of Fragment Shaders.
A curated list of awesome neural radiance fields papers
- nerf
Community hub for Requestly API Client — bugs, feature requests, and roadmap. The privacy-first Postman alternative.
- open-source
- api-client
- api-testing
- developer-tools
🚀 Ready-to-run Prisma example projects
A list of interesting payloads, tips and tricks for bug bounty hunters.
Roadmap to becoming an iOS developer in 2018.
- swift
- ios
- objective-c
- architecture
A standard style for README files
- readme
- readme-standard
- standard
- docs
An Information Security Reference That Doesn't Suck; https://rmusser.net/git/admin-2/Infosec_Reference for non-MS Git hosted version.
- infosec
- infosec-reference
- reverse-engineering
- hacking
A comprehensive curated list of available Bug Bounty & Disclosure Programs and Write-ups.
Curated list of 20,000+ hours and 200+ free courses with certificates in IT, CS, Design and Business.
😎🏖️🐬 Your new, 𝙧𝙞𝙙𝙤𝙣𝙠𝙪𝙡𝙞𝙘𝙞𝙤𝙪𝙨𝙡𝙮 smart clipboard manager
Highly Subjective Roadmap to Flutter Development
A comprehensive Domain-Driven Design example with problem space strategic analysis and various tactical patterns.
- domain-driven-design
- ddd
- ddd-architecture
- c4
Roadmap to becoming a game developer in 2022
Ultra-fast bootstrapping with Angular and Electron :speedboat:
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.
A collection of AWESOME things about domain adaptation
- transfer-learning
- domain-adaptation
- adversarial-learning
- image-translation
Collection of Linux Sysadmin/DevOps interview questions
R for data science: a book
- book
- bookdown
- data-science
- r
Awesome XSS stuff
- xss
- payload
- xss-payloads
- payload-list
Curated list of awesome GAN applications and demo
- generative-adversarial-network
- curated-list
- applications
- demonstration