machine learning

Finally a smart RSS reader which doesn't suck ass or your data.

Python software for identifying dynamical systems from time series data

Armadillo: fast C++ library for linear algebra (matrix maths) & scientific computing - http://arma.sourceforge.net

Eumap is a library to enable easier access to several spatial layers prepared for Continental Europe, as well the source code used to produce them (http://eumap.readthedocs.org).

Wetland modeling using clustering techniques.

Some (simple) machine learning algorithms and examples of how to use them.

Code for Graph Representation of 3D CAD models for Machining Feature Recognition with Deep Learning paper. This is an approach using graph neural networks to learning from planar B-Rep CAD models.

Bahn-Vorhersage - The best Train Delay Prediction System.

Neural Network software for identifying atoms and atomic columns in High Resolution Transmission Electron Micrographs (HRTEM)

API4AI is cloud-native computer vision & AI platform for startups, enterprises and individual developers. This repository contains sample mini apps that utilizes OCR API provided by API4AI.

Series of simulations to replicate laboratory experiments as part of a 'digital twin' initiative between Swansea University and the UK Atomic Energy Authority. Scripts are mostly in python to run the various modules which this platform integrates together (e.g., Salome, Code_Aster, ERMES, CAD2Vox, gvxr, CIL).

Automated pipeline for decensoring of doujinshis, using HentAI and DeepCreamPy. Supply an Imgur album link, nhentai link or nhentai id, wait 15-30 minutes, and download significantly decensored images.

Simple project to join IoT precision farming, using sensors, actuators, controllers and machine learning to sense plants condition and actuate on watering.

A flexible neural network framework for running experiments and trying ideas.

programas para medición de variables agro-hidrológicas. Datos obtenidos de esas mediciones y su correspondiente análisis.

This git repository accompanies the work presented in the master's thesis titled "Context-based Tweet Engagement Prediction" written by Jovan Jeromela under the supervision of Assist.-Prof. Peter Knees in 2021 at TU Wien.