A curated list of awesome Kotlin related stuff Inspired by awesome-java.
- kotlin-language
- kotlin
- kotlin-android
- kotlin-extensions
Repository Index
47,133 repositories indexed
73–96 of 413 · Most stars
A curated list of awesome things related to Django
A collection of awesome readme templates to display on your profile
FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more. Translations: 🇺🇸 🇨🇳 🇰🇷 🇪🇸 🇻🇳 🇧🇷 🇷🇺
A curated list of Awesome Threat Intelligence resources
- security
- awesome
- hacktoberfest
- awesome-list
TranslatedA Chinese-language guide to teaching C++ Templates. Unlike the well-known book C++ Templates, this tutorial series teaches C++ Templates as a Turing-complete language, in order to help readers thoroughly master Meta-Programming. (Under construction)
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
A collection of android security related resources
A Collection of Awesome Jellyfin Plugins, Themes, Guides and More!
Demonstration and Template Projects
Clean Architecture template for Golang services
- clean-architecture
- go
- golang
- microservices
[Examples] Simple basic isolated apps, for budding flutter devs.
A list of command-line tools for manipulating structured text data
A free, online learning platform to make quality education accessible for all.
🚀 Ready-to-run Prisma example projects
180+ Algorithm & Data Structure Problems using C++
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
😎🏖️🐬 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 💯
- algorithms
- data-structures
- array
- bit-manipulation
😎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.
A collection of AWESOME things about domain adaptation
- transfer-learning
- domain-adaptation
- adversarial-learning
- image-translation
A curated list of awesome projects related to eBPF.