datacompression

Fast, GPU-based decompressor for bzip2 streams.

GAN, SSGAN, WGAN, and VAE are neural networks for content generation. GAN generates realistic images, SSGAN improves quality, WGAN ensures stability, and VAE compresses data to learn features. Applications include image generation, quality enhancement, and fraud detection.

Package to measure inclination of galaxy images and other morphological parameters, following descriptions in Martinez et al. (2025).

Embedded compression library

This repo consists of programs that have matrices as their core component.

An open source Rust library that implements source coding and channel coding for data transmission.

Data Compression Project

This repository contains implementations of various data compression algorithms, both lossy and lossless.

Classical data compression algorithms — Information Theory project

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Autoencoders for Dimensionality Reduction leverage deep learning to compress high-dimensional data, preserve key features, and enhance efficiency for data analysis and machine learning tasks.

Python implementation of Lempel-Ziv-Welch (LZW) compression and decompression algorithm

DSAI 325 - Spring 25