Nestoras Neofytou's repositories
Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
google-research
Google Research
pymoth
Python version of MothNet: Computational model of the moth olfactory network 🐛
ELEC97052-Selected-Topics-in-Machine-Learning
Computer vision code and reports
Prog-2-Cpp
BE-Programming 2 (october 2018 - Jannuary 2019)
PuttingABugInML
Code for the paper "Putting a bug in ML: The moth olfactory network learns to read MNIST", by CB Delahunt and JN Kutz
GAN_cv2
Coursework 2 in Selected topics for computer vision (Imperial College London)
random-forest
Imperial College London EE4-62 Machine Learning for Computer Vision Coursework 1