from vibe coding to agentic engineering - practice makes claude perfect
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DALL·E Mini - Generate images from a text prompt
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.
Entity Framework EF Core efcore Bulk Batch Extensions with BulkCopy in .Net for Insert Update Delete Read (CRUD), Truncate and SaveChanges operations on SQL Server, PostgreSQL, MySQL, SQLite, Oracle
Tasteful Checkbox for iOS. (Check box)
Advanced color manipulation for iOS.
The best terminal emulator based on the Enlightenment Foundation Libraries
Official repository for Video Hub App
Full featured TFT library for ESP32 with demo application
Full featured ePaper library for ESP32 with demo application
Elixir/Erlang bindings for lexborisov's myhtml