Demonstration and Template Projects
Repository Index
47,133 repositories indexed
265–288 of 1,005 · Most stars
A curated list of Web Performance Optimization.
- awesome-list
- awesome
- list
- webperformance
A curated list of practical financial machine learning tools and applications.
An easy-to-read, quick reference for JS best practices, accepted coding standards, and links around the Web
- javascript
- js
- best-practices
- guide
AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog
- postgresql
- greenplum
- enterprisedb
- database
:bathtub: Clean Code concepts and tools adapted for .NET
A curated list of cryptography resources and links.
JavaScript talks you have to see 👀 on functional programming, performance, frameworks, React, debugging, leveling up, and more!
- javascript
- react
- learning-resources
- awesome-list
A free, online learning platform to make quality education accessible for all.
A collection of public resources about how software companies test their software
- testing
- companies
- testing-practices
- quality
Examples built with TensorFlow.js
🚀 Ready-to-run Prisma example projects
A standard style for README files
- readme
- readme-standard
- standard
- docs
ECMAScript 6: Feature Overview & Comparison
The repository host gives no description.
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.
- domain-driven-design
- ddd
- ddd-architecture
- c4
:dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
- benchmark-ips
- performance-optimization
- ruby
- hacktoberfest
Ultra-fast bootstrapping with Angular and Electron :speedboat:
Example projects using the AWS CDK
- cdk
- cdk-examples
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.
React: CSS in JS techniques comparison
- cssinjs
- css-in-js
A collection of AWESOME things about domain adaptation
- transfer-learning
- domain-adaptation
- adversarial-learning
- image-translation
A curated list of awesome CMake resources, scripts, modules and examples.
- cmake
- cmake-resources
- cmake-scripts
- cmake-modules