compression-implementations

The Unified Latent-State Memory Fabric (UL-SMF) is a hardware-software co-designed memory compression fabric that solves the memory bottleneck in long-context Transformer inference. By combining FSQ with dynamic 16-dimensional latent mapping, UL-SMF compresses Key-Value (KV) cache tensors by up to 384x while maintaining >94% semantic retention.

A prototype JPEG compressor (only algorithm without header) in Python.

A tool for downloading and shrinking videos to be under a user-defined file size.

A simple Python implementation of the LZSS algorithm

metaprogramming for LLMs and other humans

A simple python implementation for the well-known compression algorithm LZW

little compression program written in python

A lossy compression algorithm using Voronoi cells to encode information.

Python implementation of Shannon Fano coder

Information Theory and Data Compression portfolio containing all the exercises for the final exam of the course.

Data Compression, Lossless implementation

Python compression algorithm

Data Compression Lab - Entropy Estimation, Compression Algorithms

This program takes in an image and compresses it in the same extension. Using Single Value Decomposition(SVD) and the Gram-Schmidt Algorithm, this program is able to reduce the image size in a few seconds.

A zlib-like project in pure Python (almost)

Crushing text based files like beer cans.

My shot at making a QOI encoder and decoder

The Story Blueprint Format (SBF) is a stand‑alone, plain‑text, lossy‑by-design format that compresses stories into token lean versions that are easy to ingest by any AI.

A simple .tif/.tiff compression utility using

Professional PDF summarization tool with AI-powered text processing and CLI interface. Optimize PDFs for ChatGPT agents by condensing documents while preserving critical information.