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Rethinking Network Pruning ⭐ 997

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

Efficient Deep Learning ⭐ 885

Collection of recent methods on (deep) neural network compression and acceleration.

Lottery Ticket Hypothesis In Pytorch ⭐ 209

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

Eigendamage Pytorch ⭐ 105

Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934

Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)

Compress Net Notes ⭐ 20

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