Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Pytorch Playground | 2,366 | a year ago | 9 | mit | Python | |||||
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet) | ||||||||||
Densenet Tensorflow | 471 | 5 years ago | 15 | mit | Python | |||||
Simple Tensorflow implementation of Densenet using Cifar10, MNIST | ||||||||||
Trades | 459 | a year ago | 4 | mit | Python | |||||
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization) | ||||||||||
Largemargin_softmax_loss | 297 | 6 years ago | 10 | other | C++ | |||||
Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16. | ||||||||||
Nnpulearning | 253 | a year ago | 2 | other | Python | |||||
Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10 | ||||||||||
Awesome Tensorlayer | 212 | 4 years ago | 1 | cc0-1.0 | ||||||
A curated list of dedicated resources and applications | ||||||||||
Tf Vqvae | 205 | 6 years ago | 1 | Jupyter Notebook | ||||||
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE). | ||||||||||
Generative_adversarial_networks_101 | 190 | 5 months ago | mit | Jupyter Notebook | ||||||
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets. | ||||||||||
Tripletnet | 174 | 7 years ago | 4 | mit | Lua | |||||
Deep metric learning using Triplet network | ||||||||||
Efficientnet Pytorch | 108 | 2 months ago | 4 | mit | Python | |||||
A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks". |