Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
MIT License
Differentiable architecture search for convolutional and recurrent networks
PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficie...
A faster pytorch implementation of faster r-cnn
OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, ...
LPIPS metric. pip install lpips
Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention
Reproduce ICLR'17 "Pruning Convolutional Neural Networks for Resource Efficient Inference" (https...
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
🧠 ResNet: Deep Residual Learning for Image Recognition
Code repository for paper "Efficient Structured Pruning and Architecture Searching for Group Conv...
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network...
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabli...