Compression Libraries

16 Components & Libraries

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Compression Libraries

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

To install the current release: Participating discussions via the following IM groups is also welcomed. Over the past few years, NNI has received thousands of feedbacks on GitHub issues, and pull req…

A blazing fast multi-language serialization framework powered by JIT and zero-copy.

In addition to cross-language serialization, Fury also features at: Different scenarios have different serialization requirements. Fury designed and implemented multiple binary protocols for those re…

A blazing fast multi-language serialization framework powered by jit and zero-copy

Bareos is a cross-network Open Source backup solution (licensed under AGPLv3) which preserves, archives, and recovers data from all major operating systems.

If you want to contribute something to this repo please read our contribution policy at The Bareos project offers two mailing lists: bareos-users and bareos-devel.

The Minimal LZMA (minlzma) project aims to provide a minimalistic, cross-platform, highly commented, standards-compliant C library (minlzlib) for decompressing LZMA2-encapsulated compressed data in LZMA format within an XZ container, as can be generated with Python 3.6, 7-zip, and xzutils

Generate 4MB of noise : Generate 4MB of whitespace: Generate 4MB of noise: Generate 4MB of whitespace: If you use WSL, ... For Linux native builds, ... The author would like to thank the shoulders of…

Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.

cc3d is an implementation of connected components in three dimensions using a 26, 18, or 6-connected neighborhood in 3D or 4 and 8-connected in 2D. This package uses a 3D variant of the two pass meth…

A command-line interface (CLI) utility written in pure Python to help you reduce the file size of images.

A command-line interface (CLI) utility written in pure Python to help you reduce the file size of images. This application is intended to be pure Python, with no special dependencies besides Pillow, …

A python NoSQL dictionary database, with concurrent access and ACID compliance

DictDataBase is a fast document-based database that uses json files or compressed json files for storage. Set storage_directory to the path of the directory that will contain your json files: You can…

Limited Error Raster Compression

LERC is an open-source image or raster format which supports rapid encoding and decoding for any pixel type (not just RGB or Byte). Users set the maximum compression error per pixel while encoding, s…

🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.

Allie is a framework for building machine learning models from audio, text, image, video, or .CSV files. Intended for both beginners and experts, Allie is designed to be easy-to-use for rapid prototy…

Real-time lossless audio compression in Python

FLAC stands for Free Lossless Audio Codec, an audio format similar to MP3, but lossless, meaning that audio is compressed in FLAC without any loss in quality. This is similar to how Zip works, except…

Set of tools to manage and modify files from many various games.

Hi, on this repository you can find a collection of tools and scripts written by me. This is result of many years devoted to reverse engineering computer and console games. Feel free to use my tools …

Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".

The key experiments that that do not require very large compute are: Command: Command: Command:

Analyse PNG file format for CTF, python API and CLI

Best tool to analyse PNG files, it shows you PNG chunks : header, palette, and text. PngParser(file) file: str or file type PngParser.get_image_data() PngParser.set_image_data() PngParser.get_chunk_b…

A Python toolkit for analyzing machine learning models and datasets.

A Python toolkit for introspection of machine learning models and datasets. To run the notebook examples, try this instead: Start the notebook:

A toolkit to boost the productivity of machine learning engineers.

From PyPi: From GitHub: All heavy-duty computations are run on our serverless infrastructure and require an API key. To configure the package with your API key, run To start a Jupyter Notebook server…

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machine-learning-algorithms