Fcn Tensorflow
TensorFlow based implementation of Fully-Convolutional Network
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Deeplearningexamples | 12,073 | 3 months ago | 295 | Jupyter Notebook | ||||||
| State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. | ||||||||||
| Segmentation_models | 4,514 |  | 12 | 16 | 3 months ago | 8 | January 10, 2020 | 263 | mit | Python |
| Segmentation models with pretrained backbones. Keras and TensorFlow Keras. | ||||||||||
| Senet Tensorflow | 611 | 6 years ago | 13 | mit | Python | |||||
| Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2) | ||||||||||
| 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). | ||||||||||
| Examples | 299 | 7 months ago | 51 | mit | Python | |||||
| Example code and applications for machine learning on Graphcore IPUs | ||||||||||
| Resnext Tensorflow | 141 | 6 years ago | 4 | mit | Python | |||||
| Simple Tensorflow implementation of ResNeXt using Cifar10 | ||||||||||
| Keras Dualpathnetworks | 107 | 4 years ago | 3 | apache-2.0 | Python | |||||
| Dual Path Networks for Keras 2.0+ | ||||||||||
| Resnext In Tensorflow | 78 | 6 years ago | 9 | Python | ||||||
| This is an implementation of ResNeXt (by Xie et al.) in tensorflow | ||||||||||
| Cbam Tensorflow | 62 | 6 years ago | 4 | mit | Python | |||||
| CBAM implementation on TensowFlow | ||||||||||
| Tensorflow Cifar100 | 54 | 5 years ago | 1 | apache-2.0 | Python | |||||
| High-acc(>0.7) model(ResNet, ResNeXt, DenseNet, SENet, SE-ResNeXt) on TensorFlow. | ||||||||||
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