Imperial College London EE4-68 Pattern Recognition Coursework 2
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Updated
Dec 22, 2017 - Python
Imperial College London EE4-68 Pattern Recognition Coursework 2
Venue Prediction with bag of words + heterogenous information using sklearn SGDClassifier
Code for the paper "Gaussian Process Classification as Metric Learning for Forensic Writer Identification", published at DAS 2018
Food item classifier with alexnet cnn architecture for online food ordering application.
This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.
Heuristic structure optimization of nested dichotomies
Movie genre classification form movie subtitles
Implementation of Naive Bayes Algorithm on Text Classification
Gradient based solver for Support Vector Machines (SVM)
Music genre classification from audio spectrograms using deep learning
Multi-classificatiion of boats using CNN
BERT (Bidirectional Encoder Representations from Transformers) is a transformer-based method of learning language representations. It is a bidirectional transformer pre-trained model developed using a combination of two tasks namely: masked language modeling objective and next sentence prediction on a large corpus.
Testing membership inference attacks on Deep learning models (LSTM, CNN);
An aggregator that collects and classifies Car ads published mostly in the Arabic language on four major websites in Egypt and KSA.
A deep learning model to classify Traffic Signals.
Unsupervised Contextualized Document Representation, to appear in SustaiNLP 2021 EMNLP 2021
Assignments in Machine Learning Course (COL774)
L2-Regularized Autoencoder Enabled Ladder Networks (RAELN) for multi-class classification of network intrusion malware.
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