PanosAntoniadis/platito
PLaTITO is an open-source model for generative molecular dynamics of proteins.
PhD Fellow @ University of Copenhagen
PLaTITO is an open-source model for generative molecular dynamics of proteins.
[ICCVW 2021] Official implementation: An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wild
[MTAP] Official implementation: A mechanism for personalized Automatic Speech Recognition for less frequently spoken languages: the Greek case
[IEEE FG 2021] Official implementation: Exploiting Emotional Dependencies with Graph Convolutional Networks for Facial Expression Recognition
Lab exercises of Pattern Recognition course in NTUA
Lab exercises of Speech and Language Processing course in NTUA
Blockchain system created as a part of the Distributed Systems course in NTUA
Lab exercises of Parallel Processing Systems course in NTUA
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.
Lab exercise of Advanced Topics in Database Systems course in NTUA regarding Map Reduce
Programming exercises of Algorithms and Complexity course in NTUA
Lab exercise of Artificial Intelligence course in NTUA
Lab exercise of Parallel Processing course in NTUA regarding CUDA programming
Lab exercises of computer vision course in NTUA
Lab exercises of Digital Signal Processing course in NTUA
Simple script that creates a speech dataset quickly
Solutions of SnackDown 2019 programming competition hosted by Codechef.