Eas
Efficient Architecture Search by Network Transformation, in AAAI 2018
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pytorch Cifar100 | 3,687 | 5 months ago | 53 | Python | ||||||
| Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet) | ||||||||||
| Semantic Segmentation Suite | 2,311 | 3 years ago | 83 | Python | ||||||
| Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily! | ||||||||||
| Cnn Watermark Removal | 911 | 3 years ago | 20 | Python | ||||||
| Fully convolutional deep neural network to remove transparent overlays from images | ||||||||||
| Cifar 10 Cnn | 726 | 4 years ago | 4 | mit | Python | |||||
| Play deep learning with CIFAR datasets | ||||||||||
| Cifar Zoo | 575 | 3 years ago | mit | Python | ||||||
| PyTorch implementation of CNNs for CIFAR benchmark | ||||||||||
| Eeg Dl | 563 | a year ago | 10 | May 13, 2020 | 4 | mit | Python | |||
| A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow. | ||||||||||
| Basic_cnns_tensorflow2 | 443 | 2 years ago | 21 | mit | Python | |||||
| A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet). | ||||||||||
| Awesome Very Deep Learning | 427 | 4 years ago | apache-2.0 | |||||||
| ♾A curated list of papers and code about very deep neural networks | ||||||||||
| Pspnet Pytorch | 377 | 7 years ago | 12 | Python | ||||||
| PyTorch implementation of PSPNet segmentation network | ||||||||||
| Glasses | 311 | 2 years ago | 5 | January 25, 2021 | 31 | mit | Jupyter Notebook | |||
| High-quality Neural Networks for Computer Vision 😎 | ||||||||||
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