compression

Insane(ly slow but wicked good) PNG image optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

Simple, configuration-driven backup software for servers and workstations

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

PyTorch Implementation of "Lossless Image Compression through Super-Resolution"

Data compression in TensorFlow

A PyTorch library and evaluation platform for end-to-end compression research

Writing large ZIP archives without memory inflation

Neural Network Compression Framework for enhanced OpenVINO™ inference

Learning deep representations by mutual information estimation and maximization

A collection of tools for neural compression enthusiasts.

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

Random Access Read-Only Tar Mount

Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map

High Octane Triage Analysis

[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework

Python Geohash Compression Tool

🐍 Python library implementing sorted containers with state-of-the-art query performance and compressed memory usage

Learned image compression

[CVPR 2021] Teachers Do More Than Teach: Compressing Image-to-Image Models (CAT)

[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

Convert 3d model (STL/IGES/STEP/OBJ/FBX) to gltf and compression

Command line interface to and serialization format for Blosc

Incremental btrfs snapshot backups with push/pull support via SSH

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

[ECCV 2020] "All-in-One GAN Compression by Unified Optimization" by Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, and Zhangyang Wang

NN based lossless compression