Sequential model-based optimization with a `scipy.optimize` interface

A web-based application for real-time handwritten digit recognition, leveraging a neural network model trained with PyTorch and implemented in JavaScript for the browser

Next.js on 🤗 Spaces

Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)

Hands Control System (HCS) - an application/system that uses AI/computer vision to control a computer mouse by means of movement and hand gestures.

AI based Massive Multiplayer Online Simulation

Portfolio selection is a method for constructing a portfolio of securities.

Needle components for Haystack projects.

Data Science and Machine Learning in Asset Management

Python functions to facilitate the pre-processing of data for ML tasks in a clinical context

The following tools enables to quickly predict the price of the particular asset via Machine Learning Techniques LSTM implementation

Meine vorwissenschaftliche Arbeit über "Maschinelle Werteanpassung bei einer hypothetischen Allgemeinen Künstlichen Intelligenz".

Dieses Projekt, entwickelt im Rahmen des Geosoftware II Kurses (WiSe 2024/25), zielt darauf ab, einen webbasierten Katalog für die benutzerfreundliche Suche und den Abruf von Machine-Learning-Modellen zu erstellen, die speziell für Earth Observation (EO) Datacubes entwickelt wurden.

Car price forecasting

Different Machine Learning models on the German Rental Dataset

Projekt transformacja, czyli poznaj reguly gry

The simple chatbot trained with different content from pre-downloaded files by implementing ML.

In marketing, the only right people must be targeted so as to cut the costs at SEO, PPC etc. So it is important to be able to cluster different groups of people. Therefore the following study is produced to show how it can be accomplished by implementing K-Means Clustering

Projekt transformacja, czyli Matrix - poznaj szczegóły gry.