huawei-noah 的其他开源项目
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
Efficient computing methods developed by Huawei Noah's Ark Lab
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a open-source Artificial Intelligence Virtual Youtuber (AI VTuber), (this project is deprecated)
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#计算机科学#The GitHub repository for the paper "Informer" accepted by AAAI 2021.
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"
My solutions to the programming assignments of the Stanford Compiler course.
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
[CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
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 Netwo...
这是一个yolo3-pytorch的源码，可以用于训练自己的模型。
ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
VMamba: Visual State Space Models，code is based on mamba
Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network
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