The School of Chemical Engineering (CHEM School) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. We are now looking for: ...

Researchers at Tohoku University used machine learning potential to create large-scale models of tin (Sn) catalysts under ...

Learn how to train a neural network to recognize hand-drawn digits using PyTorch! A fun and beginner-friendly intro to deep learning and computer vision.

This course will cover a wide range of machine learning methods, both model-based and algorithmic.

Multimodal machine learning (MML) is a tempting multidisciplinary research area where heterogeneous data from multiple modalities and machine learning (ML) are combined to solve critical problems.

Factorization Machine models in PyTorch This package provides a PyTorch implementation of factorization machine models and common datasets in CTR prediction.

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Pytorch implementation of the paper Forget Less, Learn More: Contrastive-Based Federated Class Incremental Learning with a Low-Dimensional Projection Layer \ Proceedings of the Computer Vision and ...