DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

Deduplicating archiver with compression and authenticated encryption.

Insane(ly slow but wicked good) PNG image optimization

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Extract files from any kind of container formats

A curated list for Efficient Large Language Models

Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM

PaddleSlim is an open-source library for deep model compression and architecture search.

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

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

Code for CRATE (Coding RAte reduction TransformEr).

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

Access large archives as a filesystem efficiently, e.g., TAR, RAR, ZIP, GZ, BZ2, XZ, ZSTD archives

Neural Network Compression Framework for enhanced OpenVINO™ inference

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

[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.

Data compression in TensorFlow

High Octane Triage Analysis

[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr