Pinned Repositories
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
drenego's Repositories
drenego/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
drenego/CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
drenego/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
drenego/CNNfornew
newCNN_for_cvpr2018
drenego/Dynamic3DGaussians
drenego/FCN.tensorflow
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
drenego/irn
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)
drenego/KerasGAN
A couple of simple GANs in Keras
drenego/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
drenego/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
drenego/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
drenego/pytorch-MNIST-CelebA-GAN-DCGAN
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
drenego/Pytorch-STN
Spatial Transformer Networks in Pytorch.
drenego/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
drenego/Spatial-Transformer-Networks_pytorch
Spatial Transformer Networks. Refer to daviddao/spatial-transformer-tensorflow.