MingSun-Tse/Awesome-Pruning-at-Initialization

[IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.

Size: 71.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 49 - Forks: 2

MingSun-Tse/ASSL

[NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)

Language: Python - Size: 4.32 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 48 - Forks: 7

MingSun-Tse/Smile-Pruning

A generic code base for neural network pruning, especially for pruning at initialization.

Language: Python - Size: 24 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 24 - Forks: 1

MingSun-Tse/SRP

[ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"

Language: Python - Size: 7.02 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 1

IlanPrice/DCTpS

Code for testing DCT plus Sparse (DCTpS) networks

Language: Python - Size: 89.8 KB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 14 - Forks: 0

snu-mllab/Efficient-CNN-Depth-Compression

Official PyTorch implementation of "Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming" (ICML'23)

Language: Python - Size: 854 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 12 - Forks: 0

lattice-ai/Compressed-DNNs-Forget 📦

Minimal Reproducibility Study of (https://arxiv.org/abs/1911.05248). Experiments with Compression of Deep Neural Networks

Language: Python - Size: 211 MB - Last synced at: 8 days ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 0

r-papso/torch-optimizer

PyTorch models optimization by neural network pruning

Language: Python - Size: 55.3 MB - Last synced at: 22 days ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

vi2enne/Neural-Network-Pruning

Language: Python - Size: 60.5 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

mansooralodhi/nnpruning

The works focus on pruning a neural network, structurally, based on the sensitivity of weights that cover the entire output range of the loss function..

Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

iurada/talos-task-arithmetic

Official repository of our work "Efficient Model Editing with Task-Localized Sparse Fine-tuning" accepted at ICLR 2025

Language: Python - Size: 84 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

GabrieleCuni/MachineLearning4IoT

Laboratories and group projects about Neural Networks altered by means of quantization and pruning techniques in order to deploy them on embedded hardware.

Language: Python - Size: 112 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0