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.

Fast, GPU-based decompressor for bzip2 streams.

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

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

Data Compression Project

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

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

DSAI 325 - Spring 25