Implementation of various techniques used in data compression.

Simple symbol ranking compressor

Fast In-Memory Data Compression Algorithm (inline C/C++) 460+MB/s compress, 2500+MB/s decompress, ratio% better than LZ4, Snappy, and Zstd@-1

Dense Basis SED fitting

Curated list of papers and resources focused on neural compression, intended to keep pace with the anticipated surge of research in the recent years.

Data compression in TensorFlow

Swiftpak is a file compression software for effective file compression. It was created as a prototype by Team CyberTron for Mech-a-thon 1.0 conducted by NIAMT Ranchi to shortlist for SIH 2023.

This library helps you compress your dataset to optimize Ai Training costs.

Efficient compression of biological data

How compressible is a human genome sequence?

Fast in-memory geospatial data compression.

A software library of lossless data compression methods tuned and optimized for AMD “Zen”-based CPUs

Explore our extensive Algorithms Repository, featuring a diverse range of algorithms from computational methods to data structures, cryptographic techniques, and AI. Ideal for education, research, and practical application, each algorithm is well-documented, tested, and optimized for performance and readability.

Web graphs compression using ANS over BVGraph format.

Decompression routines for ancient formats

A flexible Python tool for compressing data files with gzip, perfect for efficiently storing or transmitting large amounts of data without compromising quality.

An improved compression tool for DNA sequences

Tools for raster data including geophysical applications and digital elevation models

A Crash Course on Data Compression.

An implementation of VL-VAE in PyTorch.