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.
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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.
Curated list of 20,000+ hours and 200+ free courses with certificates in IT, CS, Design and Business.
Highly Subjective Roadmap to Flutter Development
A curated list of awesome Swift frameworks, libraries and software.
A repo containing samples tied to new functionality in each release of Google Chrome.
A comprehensive Domain-Driven Design example with problem space strategic analysis and various tactical patterns.
An Open-Source Collection of Flash Cards to Help You Preparing Your Algorithms & Data Structures and System Design Interviews 💯
Roadmap to becoming a game developer in 2022
A curated list of awesome infosec courses and training resources.
:dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
Ultra-fast bootstrapping with Angular and Electron :speedboat:
Example projects using the AWS CDK
😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.
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.
An authoritative list of awesome devsecops tools with the help from community experiments and contributions.
A curated list of awesome iOS animation, including Objective-C and Swift libraries
React: CSS in JS techniques comparison
A collection of AWESOME things about domain adaptation
Collection of Linux Sysadmin/DevOps interview questions
The Mobile App Pentest cheat sheet was created to provide concise collection of high value information on specific mobile application penetration testing topics.
A categorized list of C++ resources.
A curated list of awesome projects related to eBPF.