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This is the code used to produce the empyrical results reported in our paper.
Official PyTorch implementation of the paper "SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning"
State-of-the-art channel pruning (a.k.a. filter pruning)! This repo contains the code for ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting.
This repository contains the official PyTorch implementation for the paper:
This repo presents an official implementation of FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification
The main features of bernardo1998/fairgrape are: Filter Pruning.
Projects with overlapping indexed features include: arthurwalraven/cnnslth — This is the code used to produce the empyrical results reported in our paper. boschresearch/sosp — Official PyTorch implementation of the paper "SOSP: Efficiently Capturing Global Correlations by Second-Order… dingxiaoh/resrep — State-of-the-art channel pruning (a.k.a. filter pruning)! This repo contains the code for ResRep: Lossless CNN Pruning… eric-mingjie/network-slimming — Network Slimming (Pytorch) (ICCV 2017). eric-mingjie/rethinking-network-pruning — This repository contains the code for reproducing the results, and trained ImageNet models, in the following paper:. alii-ganjj/interpretationssteeredpruning — This repository contains the official PyTorch implementation for the paper:.