Next.js on 🤗 Spaces

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

This small project applies reinforcement learning to the game of Tic-Tac-Toe using a neural network.

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

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.

Different Machine Learning models on the German Rental Dataset

Projekt transformacja, czyli poznaj reguly gry

Car price forecasting

AI based Massive Multiplayer Online Simulation

Projekt transformacja, czyli Matrix - poznaj szczegóły 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

Finding the most dominant colors in an image using the KMeans clustering algorithm. It can help to identify the right design and marketing colours.

Abgabe für den vDgD2021-Hackathon über Named-entity recognition in frühneuhochdeutschen Texten.

Projekt - pierwszy model uczenia maszynowego

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

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

Projekt transformacja, czyli Matrix - poznaj reguły gry

Examples of some popular algorthms for solving problems in maschine learning