Frontend side of TextFile compression using LZW Algorithm with MERN techstack
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Updated
Jun 26, 2023 - JavaScript
Frontend side of TextFile compression using LZW Algorithm with MERN techstack
Implementation of the algorithm "Move to front" in python for data compression
My CS Bachelor Thesis (Summer 2022)
PUBLIC | FCTUC DEI/LEI 2021/2022 - Licenciatura em Engenharia Informática | TI - Teoria da Informação | Trabalhos Práticos: TP0, TP1 e TP2
A (rookie makeshift improvised amateur suboptimal crude non-production-ready) bzip2 compression algorithm implementation from scratch.
Zip and unzip files using Huffman coding with Burrows Wheeler and Move To Front (BW and MTF are only applied to small files)
Backend side of TextFile compression using LZW Algorithm with MERN techstack
A block sorting lossless data compression algorithm
Context aware Move To Front Transform based compressor
Practices of Algorithm for hard problems
A Fast C++ Lossless Compress/Decompress CLI Program with High Compression Ratio
This repository contain the most important contextual data transformation algorithms which help to improve the rate compression reached by statistical encoders. Ramses Alexander Coraspe Valdez
A New Approach for Efficient Sequential Decoding of Static Huffman Codes
Extreme inline text compression for HTML / JS. A custom pipeline that generates stand-alone HTML or JS files which embed competitively compressed self-extracting text, with file sizes of 25% - 40% the original.
A parallel implementation of the bzip2 data compressor in python, this data compression pipeline is using algorithms like Burrows–Wheeler transform (BWT) and Move to front (MTF) to improve the Huffman compression. For now, this tool only will be focused on compressing .csv files, and other files on tabular format.
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