Image-ClassificationPre-trained VGG-Net Model for image classification using tensorflow
Stars: ✭ 29 (-35.56%)
SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Stars: ✭ 2,641 (+5768.89%)
tf-semantic-segmentation-FCN-VGG16Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF
Stars: ✭ 30 (-33.33%)
DeepfashionApparel detection using deep learning
Stars: ✭ 223 (+395.56%)
Retrieval 2017 CamClass-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
Stars: ✭ 219 (+386.67%)
S3fd.pytorchSFD implement with pytorch
Stars: ✭ 212 (+371.11%)
FreezeoutAccelerate Neural Net Training by Progressively Freezing Layers
Stars: ✭ 196 (+335.56%)
Ssd TensorflowA Single Shot MultiBox Detector in TensorFlow
Stars: ✭ 169 (+275.56%)
Tensorflow Vgg16 Train And TestThe purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).
Stars: ✭ 158 (+251.11%)
Dsfd.pytorchDSFD implement with pytorch
Stars: ✭ 153 (+240%)
Easy Faster Rcnn.pytorchAn easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.
Stars: ✭ 141 (+213.33%)
Keras Vgg16 Places365Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
Stars: ✭ 138 (+206.67%)
Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (+180%)
Ds bowl 2018Kaggle Data Science Bowl 2018
Stars: ✭ 116 (+157.78%)
Image Segmentation FcnSemantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow
Stars: ✭ 82 (+82.22%)
Alpha poolingCode for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
Stars: ✭ 51 (+13.33%)
Neural Image CaptioningImplementation of Neural Image Captioning model using Keras with Theano backend
Stars: ✭ 12 (-73.33%)
Vgg16 PytorchVGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
Stars: ✭ 26 (-42.22%)
Keras Yolov3 MobilenetI transfer the backend of yolov3 into Mobilenetv1,VGG16,ResNet101 and ResNeXt101
Stars: ✭ 552 (+1126.67%)
Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
Stars: ✭ 448 (+895.56%)
Cnn ModelsImageNet pre-trained models with batch normalization for the Caffe framework
Stars: ✭ 355 (+688.89%)
Holy EdgeHolistically-Nested Edge Detection
Stars: ✭ 277 (+515.56%)
Grad Cam Tensorflowtensorflow implementation of Grad-CAM (CNN visualization)
Stars: ✭ 261 (+480%)
Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
Stars: ✭ 21 (-53.33%)
dl-reluDeep Learning using Rectified Linear Units (ReLU)
Stars: ✭ 20 (-55.56%)
SuperResolution-with-Perceptual-lossIn this project I have used an convolution neural network with perceptual loss to convert low res image into high res image.
Stars: ✭ 17 (-62.22%)
deep-dream-pytorchPytorch implementation of DeepDream on VGG16 Network
Stars: ✭ 46 (+2.22%)
Skin Lesions Classification DCNNsTransfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
Stars: ✭ 47 (+4.44%)
PyTorch-SRGANPyTorch version of the paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Stars: ✭ 14 (-68.89%)
dnnA light-weight deep learning framework implemented in C++.
Stars: ✭ 12 (-73.33%)