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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 curated list of awesome YARA rules, tools, and people.

  • yara-rules
  • yara-signatures
  • yara
  • malware-rules

Interactive Go Interview Platform - 30+ coding challenges with instant feedback, AI interview simulation, competitive leaderboards, and automated testing. From beginner to advanced levels with real-world scenarios.

  • go-interview-questions
  • golang
  • golang-interview-questions
  • hacktoberfest

Full-stack .Net 10 Clean Architecture (Microservices, Modular Monolith, Monolith), Blazor, Angular 22, React 19, Vue 3.5, BFF with YARP, NextJs 16, Domain-Driven Design, CQRS, SOLID, Asp.Net Core Identity Custom Storage, OpenID Connect, EF Core, OpenTelemetry, SignalR, Background Services, Health Checks, Rate Limiting, Clouds (Azure, AWS, GCP), ...

This is a Swift based demo project to show how to make the transition Pinterest liked.

  • swift
  • transition-pinterest
  • pinterest-like