Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Have Fun With Machine Learning | 4,912 | 2 years ago | 8 | other | Python | |||||
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks | ||||||||||
Pytorch Cifar100 | 3,687 | 5 months ago | 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) | ||||||||||
Tensorflow2.0 Examples | 1,692 | a year ago | 99 | mit | Jupyter Notebook | |||||
🙄 Difficult algorithm, Simple code. | ||||||||||
Attention Gated Networks | 1,099 | 3 years ago | mit | Python | ||||||
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation | ||||||||||
Cv Pretrained Model | 991 | 3 years ago | mit | |||||||
A collection of computer vision pre-trained models. | ||||||||||
Neural Backed Decision Trees | 445 | 3 years ago | 8 | mit | Python | |||||
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet | ||||||||||
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). | ||||||||||
Rexnet | 416 | 2 years ago | 2 | mit | Python | |||||
Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models | ||||||||||
Computer Vision | 354 | 6 years ago | Jupyter Notebook | |||||||
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition | ||||||||||
Bag_of_tricks_for_image_classification_with_convolutional_neural_networks | 352 | 5 years ago | 4 | Python | ||||||
experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc |