Repository Index

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.

Template iOS app using Clean Architecture and MVVM. Includes DIContainer, FlowCoordinator, DTO, Response Caching and one of the views in SwiftUI

• clean-architecture
• ios-swift
• swiftui
• mvvm-ios

翻译、开发心得或学习笔记

• swift
• gcd
• algorithms
• ios

The repository host gives no description.

Textbook on reinforcement learning from human feedback

• ai
• alignment
• rlhf

Awesome machine learning for combinatorial optimization papers.

• machine-learning
• combinatorial-optimization
• operations-research
• paper-list

Coordinators Essential tutorial

• coordinators
• protocols
• application-coordinator
• swift

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

• social-network
• indiana-university
• network-science
• textbook

🔍 A step-by-step guide to parsing using Haskell parser combinators.

• haskell
• parser
• parser-combinators
• parsing

Fast cartesian product

• cartesian
• cartesian-product
• performance
• sets

:pencil: JsonPlaceholder sample app made with Next.js

• nextjs
• react
• redux
• jsonplaceholder