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bayesiannetworkinference

Implementation of Inference on Bayesian Networks. This implementation assumes the input BIF files to have a certain structure.

chestxray-dsc481

Repository for Predicting Pneumonia using Chest XRay images. Done as part of the final Project for DSC481 course at University of Rochester.

clip

Contrastive Language-Image Pretraining

cs224d-deep-learning-for-natural-language-processing-coursework

Coursework for CS224D- Deep Learning for Natural Language Processing (2016). The lectures were followed through youtube and homeworks were followed from the class website.

csc249_final_proj

Final Project of CSC249 at URCS

csc249_hw4

dasiamrpn

[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking

decisiontree

A self implemented version of Decision Tree following ID3 implementation together with tree pruning. Dataset used is Mushroom dataset from UCI ML repository - https://archive.ics.uci.edu/ml/datasets/mushroom

densecap

factorizablenet

Factorizable Net (Multi-GPU version): An Efficient Subgraph-based Framework for Scene Graph Generation

linearregression

An implementation of Linear Regression for predicting the insurance expenses using the data provided in https://www.kaggle.com/brandonyongys/insurance-charges/data

logisticregression

Implementation of Logistic regression on two datasets, Dummy exam marks dataset and Wine dataset

minimax-tictactoe

Implementation of Minimax Algorithm for TicTacToe(3*3), NineBoard(9*9) and Ultimate TicTacToe(https://en.wikipedia.org/wiki/Ultimate_tic-tac-toe)

moments_models

The pretrained models trained on Moments in Time Dataset

msdn

This is our PyTorch implementation of Multi-level Scene Description Network (MSDN) proposed in our ICCV 2017 paper.

naivebayes

Self implemented version of Naive Bayes and Gaussian Naive Bayes classifier

neuralnetwork

Implementation of Neural network using sigmoid units and cross entropy loss on Iris and Connect-4 dataset. Also includes decision tree implementations.

nlp-coursework-coursera

Homeworks for NLP course by Dan Jurafsky and Chris Manning provided through Coursera. Since the courses are no longer up on Coursera, the homeworks were taken from another course which closely follows that one - http://www.mohamedaly.info/teaching/cmp-462-spring-2013

patternminingalgorithms-apriori-fpgrowth

Self implementation of Frequent Item set mining algorithms Apriori and FpGrowth on Adult Dataset (http://archive.ics.uci.edu/ml/datasets/Adult)

predicting-popularity-of-onlinenewsarticles-using-machine-learning

Implementation of Machine Learning algorithms using Pytorch framework to predict the popularity of an online news article through its features. Uses the UCI dataset (https://archive.ics.uci.edu/ml/datasets/online+news+popularity)

propositionallogic-enumeration-dpll

Implementation of inference methods for Propositional Logic. I have implemented Enumeration and DPLL methods.

pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

pytorch-vae

This repository implements a simpleVAE for training on CPU on the MNIST dataset and provides ability to visualize the latent space, entire manifold as well as visualize how numbers interpolate between each other.

simple-recurrent-units

Forked version of SRU to aid my experimentation with DMS . SRU - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755) . DMS - https://github.com/BCV-Uniandes/DMS

test

trn-pytorch

Temporal Relation Networks