dual-path-networks

Here are 8 public repositories matching this topic...

huggingface / pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Updated Dec 6, 2024
Python

tugstugi / pytorch-speech-commands

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Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge

deep-learning neural-network pytorch kaggle speech-recognition classification densenet resnet cifar10 resnext wide-residual-networks dual-path-networks

Updated Jan 19, 2024
Python

titu1994 / Keras-DualPathNetworks

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Dual Path Networks for Keras 2.0+

deep-learning tensorflow keras dpn dual-path-networks

Updated Feb 9, 2020
Python

gmalivenko / gluon2pytorch

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Gluon to PyTorch deep neural network model converter

converter machine-learning deep-neural-networks deep-learning mxnet pytorch densenet resnet gluon darknet dual-path-networks onnx densenet-pytorch nasnet pytorch-converter dualpath-network

Updated May 9, 2021
Python

cxy1997 / MNIST-baselines

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Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project

pytorch vgg mnist-classification lenet densenet resnet googlenet resnext mobilenet shufflenet dual-path-networks senet baselines capsnet mobilenetv2 pnasnet preact-resnet

Updated Dec 26, 2018
Python

zhitao654321 / super-resolution-SRDPNs-tensorflow

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My implementaion of super-resolution based on dual-path networks. It can be used directly to reconstruct your low-resolution image to high-resolution. Also, you can use your dataset to train your networks