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capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

cnnfornew

newCNN_for_cvpr2018

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dynamic3dgaussians

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

irn

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)

kerasgan

A couple of simple GANs in Keras

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-mnist-celeba-gan-dcgan

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

pytorch-stn

Spatial Transformer Networks in Pytorch.

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

spatial-transformer-networks_pytorch

Spatial Transformer Networks. Refer to daviddao/spatial-transformer-tensorflow.