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

🚀 H2G-Net: Segmentation of breast cancer region from whole slide images

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

Binary Neural Networks research project

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

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

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

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

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

Prototype for a virtual keyboard based on IMUs and machine learning

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

Detailed latex report and its corresponding pdf file of CNN from SMAI course @ IIIT H

Repo for my master thesis

Image classification with Keras on the Belgium Traffic Sign Dataset