Topic: "structured-pruning"
VainF/Diff-Pruning
[NeurIPS 2023] Structural Pruning for Diffusion Models
Language: Python - Size: 25.2 MB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 185 - Forks: 12

ghimiredhikura/Awasome-Pruning
Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.
Size: 152 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 85 - Forks: 7

CASIA-IVA-Lab/FLAP
[AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
Language: Python - Size: 987 KB - Last synced at: about 2 hours ago - Pushed at: over 1 year ago - Stars: 55 - Forks: 14

microsoft/only_train_once
OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
Language: Python - Size: 15.7 MB - Last synced at: 4 days ago - Pushed at: 9 months ago - Stars: 42 - Forks: 6

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: Python - Size: 1.87 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 28 - Forks: 4

Hahn-Schickard/Automatic-Structured-Pruning
We have implemented a framework that supports developers to structured prune neural networks of Tensorflow Models
Language: Python - Size: 891 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 27 - Forks: 4

lehduong/kesi
Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)
Language: Jupyter Notebook - Size: 3.19 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 23 - Forks: 8

Eclipsess/CHIP_NeurIPS2021
Code for CHIP: CHannel Independence-based Pruning for Compact Neural Networks (NeruIPS 2021).
Language: Python - Size: 94.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 5

pvti/CORING
:ring: Efficient tensor decomposition-based filter pruning
Language: Jupyter Notebook - Size: 272 MB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 16 - Forks: 4

jordddan/Pruning-LLMs
The framework to prune LLMs to any size and any config.
Language: Python - Size: 4.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 0

FabrizioSandri/2SSP
2SSP: A Two-Stage Framework for Structured Pruning of LLMs
Language: Python - Size: 1.94 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 13 - Forks: 1

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: Python - Size: 114 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 0

kumasento/gconv-prune
Code repository for paper "Efficient Structured Pruning and Architecture Searching for Group Convolution" https://arxiv.org/abs/1811.09341
Language: Python - Size: 2.29 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 2

peremartra/optipfair
Structured pruning and bias visualization for Large Language Models. Tools for LLM optimization and fairness analysis.
Language: Python - Size: 11.2 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 6 - Forks: 0

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: Python - Size: 1.06 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

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.
Size: 417 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

yugwangyeol/Intra-Fusion
[Project] Edge computing Intra-Fusion Comparison Experiment
Language: Python - Size: 180 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

yugwangyeol/Structured-Unstructured-Pruning
[Project] Structured/Unstructured Pruning Comparison Experiment
Language: Python - Size: 15.6 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
