Code for the paper "Gaussian Process Classification as Metric Learning for Forensic Writer Identification", published at DAS 2018
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Updated
May 3, 2018 - Python
Code for the paper "Gaussian Process Classification as Metric Learning for Forensic Writer Identification", published at DAS 2018
A deep learning model to classify Traffic Signals.
Unsupervised Contextualized Document Representation, to appear in SustaiNLP 2021 EMNLP 2021
An aggregator that collects and classifies Car ads published mostly in the Arabic language on four major websites in Egypt and KSA.
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.
Models for multi-class classification implimented in pytorch
Decision tree classifier for multi-class classification WITHOUT any advanced libraries like Pandas, Numpy, Scikit-learn, etc.
A Convolutional Neural Network that distinguishes between the speakers emotions. Comes with multiple preprocessors to improve the models performance.
Heuristic structure optimization of nested dichotomies
Multi-Class Classification to analyze architectural drawings
Gradient based solver for Support Vector Machines (SVM)
Assignments in Machine Learning Course (COL774)
This folder contains two Machine Learning projects.
Code for a multi-label text classification model for medical inquiry documents using an ensemble learning approach: specifically Boosting.
Création d'un réseau de Deep Learning capable de détecter une unique instance d'un objet (pouvant appartenir à différentes classes) dans une image et de l'encadrer avec un rectangle.
Implementation of Naive Bayes Algorithm on Text Classification
Multi-classificatiion of boats using CNN
Testing membership inference attacks on Deep learning models (LSTM, CNN);
Implementaiton of BSC-Densenet-121 in Pytorch from research paper "Adding Binary Search Connections to Improve DenseNet Performance".
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