Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
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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 TypeScript chess library for chess move generation/validation, piece placement/movement, and check/checkmate/draw detection
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
:zap: [Android Library] Play with sensor events & detect gestures in a breeze.
APT-Hunter is Threat Hunting tool for windows event logs which made by purple team mindset to provide detect APT movements hidden in the sea of windows event logs to decrease the time to uncover suspicious activity
Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines
OpenBoxes is a warehouse management system designed to manage inventory and track stock movements for healthcare facilities.
tmux integration for nvim features pane movement and resizing from within nvim.
A neovim plugin for moving around your code in a syntax tree aware manner
jQuery plugin that makes an image erasable (with mouse or touch movements)
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
Lightweight and quick file operations without being a full-blown file manager.
Suricata rules for network anomaly detection
Using Machine Learning to predict the type of exercise from movement data
A plugin to practice neovim movements
🧼 Clean window maximizing, terminal toggling, window/tmux pane movements and more!
Spokenvote.org is a social voting app for reaching consensus in a group of any size, coded in Ruby on Rails and AngularJS. At the center of the direct democracy movement, Spokenvote radically enhances a group’s ability to reach consensus and make better decisions using an intuitive democratic process.
Exclusively Co-Op Metroidvania with Movement as smooth as Smash Bros Melee