PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
Statistics for this project are still being loaded, please check back later.
A faster pytorch implementation of faster r-cnn
[ICPR 2020] "Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Cha...
Code repository for paper "Efficient Structured Pruning and Architecture Searching for Group Conv...
PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convoluti...
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
A memory-efficient implementation of DenseNets
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabli...
Differentiable architecture search for convolutional and recurrent networks
Reproduce ICLR'17 "Pruning Convolutional Neural Networks for Resource Efficient Inference" (https...
An unofficial styleguide and best practices summary for PyTorch