Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression
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Updated
May 2, 2023 - Python
Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression
Data Compression using Arithmetic Encoding in Python
AI chaos reasoning persona
TensorFlow implementation of MRIC (Multi-Realism Image Compression with a Conditional Generator, CVPR 2023)
First open-source KVTC implementation (NVIDIA, ICLR 2026) -- 8-32x KV cache compression via PCA + adaptive quantization + entropy coding
A lightweight rANSCoder meant for rapid prototyping.
Autonomous Agent 32-bit Finite-Precision Arithmetic Coding Lossless Compression Engine with Underflow Prevention
Autonomous Agent 32-bit Finite-Precision Arithmetic Coding Lossless Compression Engine with Underflow Prevention
High-precision fractional range subdivision arithmetic compression encoder and decoder
Fraunhofer HHI implementation of the Neural Network Coding (NNC) Standard
High-precision fractional range subdivision arithmetic compression encoder and decoder
NeurIPS 2019 MicroNet Challenge
Finding Storage- and Compute-Efficient Convolutional Neural Networks
implementation of the CTW algorithm
Lossless AI model compression - ~34% smaller with bit-identical weights; the autopilot profiles your machine, picks the highest fidelity that runs, and streams models bigger than your RAM.
This repository is for reproducing the results shown in the NNCodec ICML Workshop paper. Additionally, it includes a demo, prepared for the Neural Compression Workshop (NCW).
Lossless text compression using Prediction by Partial Matching (PPM) and arithmetic coding
Analog and digital Communication - Information Theory - Message Probability & Entropy
Try to compress incompressible data
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