Awesome online talks and screencasts
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47,133 repositories indexed
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180+ Algorithm & Data Structure Problems using C++
ECMAScript 6: Feature Overview & Comparison
:dolphin: A comprehensive tutorial on getting started with Docker!
- docker
- tutorials
- cloud-computing
- microservices
Go microservice template for Kubernetes
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.
The repository host gives no description.
A comprehensive Domain-Driven Design example with problem space strategic analysis and various tactical patterns.
- domain-driven-design
- ddd
- ddd-architecture
- c4
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.
- awesome-list
- awesome
- fuzzing
- fuzzing-framework
😎🏖️🐬 Your new, 𝙧𝙞𝙙𝙤𝙣𝙠𝙪𝙡𝙞𝙘𝙞𝙤𝙪𝙨𝙡𝙮 smart clipboard manager
Highly Subjective Roadmap to Flutter Development
A curated list of awesome Swift frameworks, libraries and software.
- swift-language
- swift
- swift-library
- swift-framework
A repo containing samples tied to new functionality in each release of Google Chrome.
An Open-Source Collection of Flash Cards to Help You Preparing Your Algorithms & Data Structures and System Design Interviews 💯
- algorithms
- data-structures
- array
- bit-manipulation
:fire: Learn some Swift
- swift
- swift-education
- awesome
- awesome-list
Roadmap to becoming a game developer in 2022
Angrave's Crowd-Sourced System Programming Book used at UIUC
Ultra-fast bootstrapping with Angular and Electron :speedboat:
Discover best root apps, Magisk, KernelSu & LSPosed(xposed) modules & rooting guides
- android
- android-app
- kernelsu
- lsposed
learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen
😎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.