| qubvel/segmentation_models |
4,514 |
|
12 |
16 |
over 2 years ago |
8 |
January 10, 2020 |
263 |
mit |
Python |
| Segmentation models with pretrained backbones. Keras and TensorFlow Keras. |
| weiaicunzai/pytorch-cifar100 |
3,687 |
|
0 |
0 |
over 2 years ago |
0 |
|
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) |
| taehoonlee/tensornets |
968 |
|
2 |
2 |
over 5 years ago |
12 |
March 31, 2020 |
15 |
mit |
Python |
| High level network definitions with pre-trained weights in TensorFlow |
| qubvel/classification_models |
706 |
|
8 |
4 |
about 6 years ago |
6 |
October 04, 2019 |
11 |
mit |
Python |
| Classification models trained on ImageNet. Keras. |
| GoogleCloudPlatform/keras-idiomatic-programmer |
705 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
apache-2.0 |
Jupyter Notebook |
| Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework |
| calmisential/Basic_CNNs_TensorFlow2 |
443 |
|
0 |
0 |
over 4 years ago |
0 |
|
21 |
mit |
Python |
| A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet). |
| Kedreamix/Pytorch-Image-Classification |
124 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| 用于pytorch的图像分类，包含多种模型方法，比如AlexNet，VGG，GoogleNet，ResNet，DenseNet等等，包含可完整运行的代码。除此之外，也有colab的在线运行代码，可以直接在colab在线运行查看结果。也可以迁移到自己的数据集进行迁移学习。 |
| zhiqwang/sightseq |
109 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
mit |
Python |
| 🔭 Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection |
| Robert-JunWang/PeleeNet |
97 |
|
0 |
0 |
about 7 years ago |
0 |
|
5 |
apache-2.0 |
Python |
| PeleeNet: An efficient DenseNet architecture for mobile devices |
| cxy1997/MNIST-baselines |
45 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
mit |
Python |
| Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project |
