Noah Research
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).
Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019), "SCOP: Scientific Control for Reliable Neural Network Pruning" (NeurIPS 2020) and “Manifold Regularized Dynamic Network Pruning” (CVPR 2021).
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Last updated: 7 days agoCode for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019), "SCOP: Scientific Control for Reliable Neural Network Pruning" (...
Last updated: 7 days agoA Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).
Last updated: 7 days agoPytorch code for paper: Full-Stack Filters to Build Minimum Viable CNNs
Last updated: 7 days agoEfficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Last updated: 7 days agoEfficient computing methods developed by Huawei Noah's Ark Lab
Last updated: 7 days agoCode for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019), "SCOP: Scientific Control for Reliable Neural Network Pruning" (...
Last updated: 7 days agoBinary neural networks developed by Huawei Noah's Ark Lab
Last updated: 7 days agoThis is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.
Last updated: 7 days agoxingtian is a componentized library for the development and verification of reinforcement learning algorithms
Last updated: 7 days agoCode for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
Last updated: 7 days agoEfficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Last updated: 7 days ago