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A simplified Jira clone built with React/Babel (Client), and Node/TypeScript (API). Auto formatted with Prettier, tested with Cypress.

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 resource to help figure out what JavaScript array method would be best to use at any given time

  • arrays
  • javascript
  • array-methods
  • array-lookup

🎬 Evidence-led Seedance 2.5 / 2.0 prompt library: 840+ cases traced to original posts, 490+ cross-model retest runs, 27 copy-ready templates, 79 installable AI-video Skills. Synced daily from goodcase.ai. EN / 中文 / 日本語.

A sample authentication service implemented with a server-less architecture, using AWS Lambda to host and execute the code and Amazon DynamoDB as persistent storage. This provides a cost-efficient solution that is scalable and highly available and can be used with Amazon Cognito for Developer Authenticated Identities.