Viktor Studenyak's Projects
A curated list of materials for Deep Learning in medical applications.
A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
End-to-End Object Detection with Transformers
Hurricane is an initiative to fit Django perfectly with Kubernetes.
Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes.
Complex value W-Net architecture with fine-tuned loss function for multi-channel MRI reconstruction. Participated in MIDL conference.
The full minitorch student suite.
Helper functions to create COCO datasets
Digital image processing framework written in Python
Python Cheat Sheet
Will make some very funny game using Python and its awesome library pygame.
Image-to-Image Translation in PyTorch
Web-application that uses Python, Tornado and MongoDB. Challenge master gives you the tools to create new challenges and motivate yourself.
Implementation of "TrackFormer: Multi-Object Tracking with Transformersโ. [Conference on Computer Vision and Pattern Recognition (CVPR), 2022]
Guided research project for conversion of analog to spiking transformer networks. Implementation of Spiking Vision Transformer and Spiking NLP Transformer using TensorFlow and robust weight normalization conversion.
:notebook_with_decorative_cover: A LaTeX template for TUM Bachelor/Master theses.