structured-pruning

There are 13 repositories under structured-pruning topic.

  • VainF/Torch-Pruning

    [CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

    Language:Python2.6k36350324

  • VainF/Diff-Pruning

    [NeurIPS 2023] Structural Pruning for Diffusion Models

    Language:Python15771210

  • ghimiredhikura/Awasome-Pruning

    Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.

    121819

  • jordddan/Pruning-LLMs

    The framework to prune LLMs to any size and any config.

    Language:Python97121

  • CASIA-IVA-Lab/FLAP

    [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models

    Language:Python343149

  • Eclipsess/CHIP_NeurIPS2021

    Code for CHIP: CHannel Independence-based Pruning for Compact Neural Networks (NeruIPS 2021).

    Language:Python333176

  • StijnVerdenius/SNIP-it

    This repository is the official implementation of the paper Pruning via Iterative Ranking of Sensitivity Statistics and implements novel pruning / compression algorithms for deep learning / neural networks. Amongst others it implements structured pruning before training, its actual parameter shrinking and unstructured before/during training.

    Language:Python30624

  • Hahn-Schickard/Automatic-Structured-Pruning

    We have implemented a framework that supports developers to structured prune neural networks of Tensorflow Models

    Language:Python263234

  • lehduong/kesi

    Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)

    Language:Jupyter Notebook25439

  • jongwooko/NASH-Pruning-Official

    About Code for the paper "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP 2023 Findings)

    Language:Python11200

  • pvti/CORING

    :ring: Efficient tensor decomposition-based filter pruning

    Language:Jupyter Notebook11203

  • ghimiredhikura/laasp-filter-pruning

    Deepak Ghimire, Kilho Lee, and Seong-heum Kim, Loss-aware automatic selection of structured pruning criteria for deep neural network acceleration, Image and Vision Computing, vol. 136, p. 104745, 2023.

    Language:Python7510

  • kumasento/gconv-prune

    Code repository for paper "Efficient Structured Pruning and Architecture Searching for Group Convolution" https://arxiv.org/abs/1811.09341

    Language:Python7302