awesome-models
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The Awesome Models is where the developer's to download PyTorch , Keras and Tensorflow pre-trained models.
Awesome Models
The Awesome Models repository is a collection of links to download PyTorch , Keras, and Tensorflow pre-trained models. If you find any link is broken, please raise an issue to have it fixed as soon as possible.
Contents
- PyTorch Image Classification models
- PyTorch Object Detection models
- Keras models
- Tensorflow models
🚀 PyTorch-Image-classification
| Framework | Model_link |
|---|---|
| AlexNet | model link |
| ConvNeXt_Tiny | model link |
| ConvNeXt_Small | model link |
| ConvNeXt_Base | model link |
| ConvNeXt_Large | model link |
| DenseNet_121 | model link |
| DenseNet_161 | model link |
| DenseNet_169 | model link |
| DenseNet_201 | model link |
| EfficientNet_B0 | model link |
| EfficientNet_B1 | model link |
| EfficientNet_B2 | model link |
| EfficientNet_B3 | model link |
| EfficientNet_B4 | model link |
| EfficientNet_B5 | model link |
| EfficientNet_B6 | model link |
| EfficientNet_B7 | model link |
| EfficientNet_V2_S | model link |
| EfficientNet_V2_M | model link |
| EfficientNet_V2_L | model link |
| GoogLeNet | model link |
| Inception V3 | model link |
| MaxVit | model link |
| MNASNet0_5 | model link |
| MNASNet0_75 | model link |
| MNASNet1_0 | model link |
| MNASNet1_3 | model link |
| MobileNet V2 | model link |
| MobileNet V3_Small | model link |
| MobileNet V3_Large | model link |
| RegNet_Y_400mf | model link |
| RegNet_Y_800mf | model link |
| RegNet_Y_1_6gf | model link |
| RegNet_Y_3_2gf | model link |
| RegNet_Y_8gf | model link |
| RegNet_Y_16gf | model link |
| RegNet_Y_32gf | model link |
| RegNet_Y_128gf | model link |
| RegNet_X_400mf | model link |
| RegNet_X_800mf | model link |
| RegNet_X_1_6gf | model link |
| RegNet_X_3_2gf | model link |
| RegNet_X_8gf | model link |
| RegNet_X_16gf | model link |
| RegNet_X_32gf | model link |
| ResNet_18 | model link |
| ResNet_34 | model link |
| ResNet_50 | model link |
| ResNet_101 | model link |
| ResNet_152 | model link |
| ResNeXt50_32x4d | model link |
| ResNeXt101_32x8d | model link |
| ResNeXt101_64x4d | model link |
| ShuffleNetV2_x0_5 | model link |
| ShuffleNetV2_x1_0 | model link |
| ShuffleNetV2_x1_5 | model link |
| ShuffleNetV2_x2_0 | model link |
| SqueezeNet1_0 | model link |
| SqueezeNet1_1 | model link |
| SwinTransformer_t | model link |
| SwinTransformer_s | model link |
| SwinTransformer_b | model link |
| SwinTransformer_v2_t | model link |
| SwinTransformer_v2_s | model link |
| SwinTransformer_v2_b | model link |
| VGG11 | model link |
| VGG11_bn | model link |
| VGG13 | model link |
| VGG13_bn | model link |
| VGG16 | model link |
| VGG16_bn | model link |
| VGG19 | model link |
| VGG19_bn | model link |
| VisionTransformer_b_16 | model link |
| VisionTransformer_b_32 | model link |
| VisionTransformer_l_16 | model link |
| VisionTransformer_l_32 | model link |
| VisionTransformer_h_14 | model link |
| Wide ResNet50_2 | model link |
| Wide ResNet101_2 | model link |
🚀 PyTorch-Object-Detection
| Framework | Model_link |
|---|---|
| Faster R-CNN_resnet50_fpn | model link |
| Faster R-CNN_resnet50_fpn_V2 | model link |
| Faster R-CNN_mobilenet_v3_large_fpn | model link |
| Faster R-CNN_mobilenet_v3_large_320_fpn | model link |
| FCOS_resnet50_fpn | model link |
| RetinaNet_resnet50_fpn | model link |
| RetinaNet_resnet50_fpn_v2 | model link |
| SSD300_vgg16 | model link |
| SSDlite320_mobilenet_v3_large | model link |
🚀 Keras
| Framework | Model_link |
|---|---|
| Xception | model link |
| VGG16 | model link |
| VGG19 | model link |
| ResNet50 | model link |
| ResNet50V2 | model link |
| ResNet101 | model link |
| ResNet101V2 | model link |
| ResNet152 | model link |
| ResNet152V2 | model link |
| InceptionV3 | model link |
| InceptionResNetV2 | model link |
| MobileNet | model link |
| MobileNetV2 | model link |
| DenseNet121 | model link |
| DenseNet169 | model link |
| DenseNet201 | model link |
| NASNetMobile | model link |
| NASNetLarge | model link |
| EfficientNetB0 | model link |
| EfficientNetB1 | model link |
| EfficientNetB2 | model link |
| EfficientNetB3 | model link |
| EfficientNetB4 | model link |
| EfficientNetB5 | model link |
| EfficientNetB6 | model link |
| EfficientNetB7 | model link |
| EfficientNetV2B0 | model link |
| EfficientNetV2B1 | model link |
| EfficientNetV2B2 | model link |
| EfficientNetV2B3 | model link |
| EfficientNetV2S | model link |
| EfficientNetV2M | model link |
| EfficientNetV2L | model link |
| ConvNeXtTiny | model link |
| ConvNeXtSmall | model link |
| ConvNeXtBase | model link |
| ConvNeXtLarge | model link |
| ConvNeXtXLarge | model link |
| Mask R-CNN | model link |
| AlexNet | model link |
🚀 Tensorflow
| Framework | Model_link |
|---|---|
| Efficientnetv2-S | model link |
| Efficientnetv2-M | model link |
| Efficientnetv2-L | model link |
| Efficientnetv2-S-21K | model link |
| Efficientnetv2-M-21K | model link |
| Efficientnetv2-L-21K | model link |
| Efficientnetv2-Xl-21K | model link |
| Efficientnetv2-B0-21K | model link |
| Efficientnetv2-B1-21K | model link |
| Efficientnetv2-B2-21K | model link |
| Efficientnetv2-B3-21K | model link |
| Efficientnetv2-S-21K-ft1K | model link |
| Efficientnetv2-M-21K-ft1K | model link |
| Efficientnetv2-L-21K-ft1K | model link |
| Efficientnetv2-Xl-21K-ft1K | model link |
| Efficientnetv2-B0-21K-ft1K | model link |
| Efficientnetv2-B1-21K-ft1K | model link |
| Efficientnetv2-B2-21K-ft1K | model link |
| Efficientnetv2-B3-21K-ft1K | model link |
| Efficientnetv2-B0 | model link |
| Efficientnetv2-B1 | model link |
| Efficientnetv2-B2 | model link |
| Efficientnetv2-B3 | model link |
| Efficientnet_B0 | model link |
| Efficientnet_B1 | model link |
| Efficientnet_B2 | model link |
| Efficientnet_B3 | model link |
| Efficientnet_B4 | model link |
| Efficientnet_B5 | model link |
| Efficientnet_B6 | model link |
| Efficientnet_B7 | model link |
| Bit_S-R50X1 | model link |
| Inception_V3 | model link |
| Inception_Resnet_V2 | model link |
| Resnet_V1_50 | model link |
| Resnet_V1_101 | model link |
| Resnet_V1_152 | model link |
| Resnet_V2_50 | model link |
| Resnet_V2_101 | model link |
| Resnet_V2_152 | model link |
| Nasnet_Large | model link |
| Nasnet_Mobile | model link |
| Pnasnet_Large | model link |
| Mobilenet_V2_100_224 | model link |
| Mobilenet_V2_130_224 | model link |
| Mobilenet_V2_140_224 | model link |
| Mobilenet_V3_Small_100_224 | model link |
| Mobilenet_V3_Small_075_224 | model link |
| Mobilenet_V3_Large_100_224 | model link |
| Mobilenet_V3_Large_075_224 | model link |
Star History
🐞 bugs & 🦸 contribution
Computer Vision moves fast! Sometimes our model links are invalid. If you notice that any of the model link is not working properly, create a bug report and let us know.
If you have an idea for a new model we should do, create a feature request. We are constantly looking for new models.
We are here for you, so don't hesitate to reach out
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