Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

My CS231n lecture notes

An Attendance Checking System using Deep Facial Recognition, written in Python.

Anomaly Detection in Video via Self-Supervised and Multi-Task Learning

Binary Neural Networks research project

Master Thesis: Image recognition by knowledge transfer using deep convolutional neural network

📚 Comprehensive lecture notes for Stanford CS231n: Deep Learning for Computer Vision (2025 Edition) — CNNs, Transformers, Diffusion Models, Vision-Language Models

Dropout vs. batch normalization: effect on accuracy, training and inference times - code for the paper

Image processing and vision based assignments completed in computer vision course

MPhil Project at QUT: Convolutional Neural Networks and Volcano Plots: Screening and Prediction of Two-Dimensional Single-Atom Catalysts

CompDec is a novel approach to automatically detect the compression algorithm used for file fragments using machine learning

Applying CNNs, Decoders, and Transfer Learning to distinguish the MRIs of heavy cannabis users vs. controls

Teaching Assistant–developed assignments for Dr. Taherinia’s Computer Vision Introduction course at Ferdowsi University of Mashhad.

Here we share the code we use in our ICB 2015 paper

Code and results for experiments of CNNs (fairseq, Gehring et al., ICML, 2017) on SCAN dataset (Lake & Baroni, ICML, 2018)

An Attendance Checking System using Deep Facial Recognition, written in Python.

тема: исследование архитектур нейронных сетей для классификации и локализации объектов на изображении

Chest CT-Images Binary Classification (R Course Project)

Neural Network trained on Chess Endgame Tablebases

Prototype for a virtual keyboard based on IMUs and machine learning