Mode Selection/Covering of GANs (TensorFlow 2)

This repository contains supplementary files for the paper "Sample Size Determination: Posterior Distributions Proximity"

Kullback-Leibler divergence in Python

A machine learning model to classify workouts performed in videos and predict an effectiveness metric for evaluating the performed workout

Neural Networks, Deep Learning, Computer Vision, Natural Language Processing, Python

Basic study of information theoretic measures and stochastic processes.

Social Choice Mechanisms for Recommender Systems. A report of the work is included that describes the project

Sequential KMeans algorithm implementation

Giant Language Model Test Room, most up to date

NLP implementations like information-theoretic measures of distributional similarity, text preprocessing using shell commands, Naive Bayes text categorization model, Cocke-Younger-Kasami parsing.

The repo consists of Statistics Algorithms

TATTER (Two-sAmple TesT EstimatoR) is a tool to perform two-sample hypothesis test.

Building a corpus whose unit distribution is approximately the same as a given target distribution by using a greedy algorithm with the Kullback-Leibler divergence. Can be used for Text-To-Speech synthesis application.

Can we identify key events in a war by analyzing raw text from news stories?

💫 Fast Julia implementation of various Kullback-Leibler divergences for 1D parametric distributions. 🏋 Also provides optimized code for kl-UCB indexes

Using entities from NER on GOV.UK content to power personalisation.

Particle Filter tracker and square-shape detection

Basic GANs with variety of loss functions as an exercise for my Thesis with Prof. Randy Paffenroth. KL, Reverse-KL, JS and Wasserstein GAN.