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The Awesome Models is where the developer's to download PyTorch , Keras and Tensorflow pre-trained models.

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Awesome Models Awesome

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

πŸš€ 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

πŸš€ 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

πŸš€ 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

πŸš€ 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

Star History Chart

🐞 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