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47,133 repositories indexed
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A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
- data-science
- machine-learning-production
- mlops
Android NDK samples with Android Studio
Techniques for deep learning with satellite & aerial imagery
- deep-learning
- deep-neural-networks
- satellite-imagery
- pytorch
List of single-file C/C++ libraries, with emphasis on clause-less licenses.
Resources for Blazor, a .NET web framework using C#/Razor and HTML that runs in the browser with WebAssembly.
TensorFlow Tutorials with YouTube Videos
🗡️ Pokedex demonstrates modern Android development with Hilt, Material Motion, Coroutines, Flow, Jetpack (Room, ViewModel) based on MVVM architecture.
- android
- kotlin
- pokemon
- pokedex
Toturials coming with the "data science roadmap" picture.
Examples built with TensorFlow.js
HumHub is an Open Source Enterprise Social Network. Easy to install, intuitive to use and extendable with countless freely available modules.
- social-network
- php
- awesome
- humhub
SwiftUI sample app using Clean Architecture. Examples of working with SwiftData persistence, networking, dependency injection, unit testing, and more.
- swiftui
- swift
- architecture
- clean-architecture
:dolphin: A comprehensive tutorial on getting started with Docker!
- docker
- tutorials
- cloud-computing
- microservices
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 comprehensive Domain-Driven Design example with problem space strategic analysis and various tactical patterns.
- domain-driven-design
- ddd
- ddd-architecture
- c4
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.
An authoritative list of awesome devsecops tools with the help from community experiments and contributions.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
A collection of important graph embedding, classification and representation learning papers with implementations.
- graph2vec
- classification-algorithm
- graph-kernels
- weisfeiler-lehman
:ballot_box_with_check: [Cheatsheet] Tips and tricks for Android Development
- android-development
- android-studio
- gradle
- cheatsheet
how to build modular applications with browserify
Full Stack Web Development with Flask.