structured-pruning

There are 20 repositories under structured-pruning topic.

  • VainF/Torch-Pruning

    [CVPR 2023] DepGraph: Towards Any Structural Pruning

    Language:Python2.9k34387347

  • VainF/Diff-Pruning

    [NeurIPS 2023] Structural Pruning for Diffusion Models

    Language:Python18271212

  • ghimiredhikura/Awasome-Pruning

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

    148719

  • jordddan/Pruning-LLMs

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

    Language:Python89122

  • CASIA-IVA-Lab/FLAP

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

    Language:Python4421512

  • microsoft/only_train_once

    OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM

    Language:Python34666

  • Eclipsess/CHIP_NeurIPS2021

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

    Language:Python332176

  • 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:Python32524

  • Hahn-Schickard/Automatic-Structured-Pruning

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

    Language:Python282235

  • lehduong/kesi

    Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)

    Language:Jupyter Notebook253310

  • alexandertheus/Intra-Fusion

    Towards Meta-Pruning via Optimal Transport, ICLR 2024 (Spotlight)

    Language:Python16100

  • pvti/CORING

    :ring: Efficient tensor decomposition-based filter pruning

    Language:Jupyter Notebook16204

  • 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:Python15200

  • FabrizioSandri/2SSP

    2SSP: A Two-Stage Framework for Structured Pruning of LLMs

    Language:Python13301

  • 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:Python10310

  • kumasento/gconv-prune

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

    Language:Python8302

  • pvti/NORTON

    :stars: Enhanced Network Compression Through Tensor Decompositions and Pruning

    Language:Python8100

  • Miocio-nora/Decay_Pruning_Method

    Make Structured Pruning Methods Smooth and Adaptive: Decay Pruning Method (DPM) is a novel smooth and dynamic pruning approach, that can be seemingly integrated with various existing structured pruning methods, providing significant improvement.

    Language:Python3100

  • yugwangyeol/Intra-Fusion

    [Project] Edge computing Intra-Fusion Comparison Experiment

    Language:Python3100

  • yugwangyeol/Structured-Unstructured-Pruning

    [Project] Structured/Unstructured Pruning Comparison Experiment

    Language:Python310