Various scripts, mostly intended to help with model training and dataset creation

DALLE-tools provided useful dataset utilities to improve you workflow with WebDatasets.

Artifician is an event-driven framework designed to simplify and accelerate the process of preparing datasets for Artificial Intelligence models.

🚀 Whenever you need to look through huge pile of images and cannot use force of file explorer, or you just work on a remote headless machine, you can use this tool. It also allows to move files from one folder to another, creating destination if it does not exist. Work in progress.

This repository presents a project focused on image recognition of nuts and screws using object detection techniques. The objective is to develop a model capable of accurately detecting and classifying nuts and screws in images, enabling automation and quality control in industrial settings.

A pipeline for machine translation (using OPUS-MT models) of parliamentary text collections in 30+ languages (ParlaMint corpora). The pipeline includes parsing TEI XLM and CONLL-u files, linguistic processing with the Stanza pipeline, machine translation and word alignment with the Eflomal tool.

Quantization Aware Training

Repo for bachelor thesis on CSGO encounter predictions

This repository contains code for training a convolutional neural network (CNN) model to classify images.

imagepreprocessing

In this work, we will detect diabetic retinopathy from retina images. To accomplish that, we will, at first, explore the retina images thoroughly.

A web-based viewer for selecting dimensions from high-dimensional datasets and viewing them as a 3D cube and pairwise orthographic projections. Created for data exploration and preparation of stimuli for a spatial perception study.