A pytorch package for non-negative matrix factorization.

IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"

A PyTorch Implementation of Generating Sentences from a Continuous Space by Bowman et al. 2015.

This repository summarizes techniques for KL divergence vanishing problem.

Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay

Experiments with variational autoencoders in Julia

Repository for "Blending Data-Driven Priors in Dynamic Games" - RSS 2024

Code for enumerating and evaluating numerical methods for Langevin dynamics using near-equilibrium estimates of the KL-divergence. Accompanies https://doi.org/10.3390/e20050318

KL-loss

PyTorch implementation of α-geodesical skew divergence

This repository contains the lab work for Coursera course on "Generative AI with Large Language Models".

PyTorch implementations of the beta divergence loss.

Machine Learning algorithms built from scratch for AMMI Machine Learning course

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

Relative entropy, mutual information, KL divergence of 2 given Images 🖼

Change point detection using KL divergence

This repository includes some detailed proofs of "Bias Variance Decomposition for KL Divergence".

Implementation of KL Divergence and inverted vector model for plagiarism detection in text files

Coordinate ascent mean-field variational inference (CAVI) using the evidence lower bound (ELBO) to iteratively perform the optimal variational factor distribution parameter updates for clustering.