Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

主打解析编码器内部逻辑和参数说明，从基础到全网没人讲的算法，没人画的图解，没人做的排版整理全都在此集齐；因此叫Ultimate Tutorial

Entropy coders for research and production in Python and Rust.

TurboRC - Fastest Range Coder + Arithmetic Coding / Fastest Asymmetric Numeral Systems

Data Compression using Arithmetic Encoding in Python

NHW : A Next-Generation Image Compression Codec

Massively Parallel Huffman Decoding on GPUs

YAECL: Yet Another Entropy Coding Library for Neural Compression Research, with Arithmetic Coding and Asymmetric Numeral Systems support

This project is being developed as part of a Master's degree research sponsored by Brazil's CNPQ. It's goal is to design a hardware architecture to accelerate the AV1 arithmetic encoder.

TensorFlow implementation of MRIC (Multi-Realism Image Compression with a Conditional Generator, CVPR 2023)

AI chaos reasoning persona

An arithmetic coder for Rust.

A lightweight rANSCoder meant for rapid prototyping.

Some of the fastest decoding range-based Asymetric Numeral Systems (rANS) codecs for x64

novel high throughput entropy encoder for BWT data

Text compression tool ⚡

Source code of "Density-Based Geometry Compression for LiDAR Point Clouds", accepted by EDBT'23 - By Xibo Sun and Prof. Qiong Luo

C99 header-only small (300 LOC) adaptive entropy encoding library

Fraunhofer HHI implementation of the Neural Network Coding (NNC) Standard

Fast python bindings for Asymmetric Numeral Systems (ported from ryg_rans). Supports CompressAI models.

Finding Storage- and Compute-Efficient Convolutional Neural Networks

NeurIPS 2019 MicroNet Challenge

Image compression practice for Undergraduate

Assignment About the data: Let’s consider a Company dataset with around 10 variables and 400 records. The attributes are as follows: Sales -- Unit sales (in thousands) at each location Competitor Price -- Price charged by competitor at each location Income -- Community income level (in thousands of dollars) Advertising -- Local advertising budget for company at each location (in thousands of dollars) Population -- Population size in region (in thousands) Price -- Price company charges for car seats at each site Shelf Location at stores -- A factor with levels Bad, Good and Medium indicating the quality of the shelving location for the car seats at each site Age -- Average age of the local population Education -- Education level at each location Urban -- A factor with levels No and Yes to indicate whether the store is in an urban or rural location US -- A factor with levels No and Yes to indicate whether the store is in the US or not The company dataset looks like this: Problem Statement: A cloth manufacturing company is interested to know about the segment or attributes causes high sale. Approach - A decision tree can be built with target variable Sale (we will first convert it in categorical variable) & all other variable will be independent in the analysis.

rANS encoder and decoder for Rust

Large-Alphabet Semi-Static Entropy Coding Via Asymmetric Numeral Systems

Some entropy coding algorithms in C++.

implementation of the CTW algorithm

This program is created to understand how Shannon Fano Coding works.

Assignments for the Audio Video Codification course.