Project Name	Stars	Repos Using This	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Flops Counter.pytorch	2,606	5	19	4 months ago	20	October 27, 2023	30	mit	Python
Flops counter for convolutional networks in pytorch framework
Deepcluster	1,313			3 years ago			2	other	Python
Deep Clustering for Unsupervised Learning of Visual Features
Cnn_finetune	888			6 years ago			33	mit	Python
Fine-tune CNN in Keras
Texture Vs Shape	728			a year ago				other	R
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
Classification_models	706	8	4	4 years ago	6	October 04, 2019	11	mit	Python
Classification models trained on ImageNet. Keras.
Pytorch Cnn Finetune	580	3	1	4 years ago	16	August 05, 2019	3	mit	Python
Fine-tune pretrained Convolutional Neural Networks with PyTorch
Convnets Keras	569			7 years ago			31	mit	Python

Cnn Models	348			6 years ago			8	bsd-2-clause	Python
ImageNet pre-trained models with batch normalization for the Caffe framework
Benchmarking Keras Pytorch	342			3 years ago			2	other	Python
🔥 Reproducibly benchmarking Keras and PyTorch models
Easyquant	295			3 years ago			10	other	Python
EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.

Alternatives To Vgg_imagenet_weights_grayscale_images

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Flops Counter.pytorch ⭐ 2,606

Flops counter for convolutional networks in pytorch framework

dependent packages 19total releases 20most recent commit 4 months ago

Deepcluster ⭐ 1,313

Deep Clustering for Unsupervised Learning of Visual Features

most recent commit 3 years ago

Cnn_finetune ⭐ 888

Fine-tune CNN in Keras

most recent commit 6 years ago

Texture Vs Shape ⭐ 728

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

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Classification_models ⭐ 706

Classification models trained on ImageNet. Keras.

dependent packages 4total releases 6most recent commit 4 years ago

Pytorch Cnn Finetune ⭐ 580

Fine-tune pretrained Convolutional Neural Networks with PyTorch

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Convnets Keras ⭐ 569

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Cnn Models ⭐ 348

ImageNet pre-trained models with batch normalization for the Caffe framework

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Benchmarking Keras Pytorch ⭐ 342

🔥 Reproducibly benchmarking Keras and PyTorch models

most recent commit 3 years ago

Easyquant ⭐ 295

EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.

most recent commit 3 years ago

Suggest An Alternative To VGG_Imagenet_Weights_GrayScale_Images

Alternative Project Comparisons

Vgg_imagenet_weights_grayscale_images vs Flops Counter.pytorch

Vgg_imagenet_weights_grayscale_images vs Deepcluster

Vgg_imagenet_weights_grayscale_images vs Cnn_finetune

Vgg_imagenet_weights_grayscale_images vs Texture Vs Shape

Vgg_imagenet_weights_grayscale_images vs Classification_models

Vgg_imagenet_weights_grayscale_images vs Pytorch Cnn Finetune

Vgg_imagenet_weights_grayscale_images vs Convnets Keras

Vgg_imagenet_weights_grayscale_images vs Cnn Models

Vgg_imagenet_weights_grayscale_images vs Benchmarking Keras Pytorch

Vgg_imagenet_weights_grayscale_images vs Easyquant

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