Dsfd.pytorchDSFD implement with pytorch
Stars: ✭ 153 (-3.16%)
Easy Faster Rcnn.pytorchAn easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.
Stars: ✭ 141 (-10.76%)
Keras Vgg16 Places365Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
Stars: ✭ 138 (-12.66%)
Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (-20.25%)
Ds bowl 2018Kaggle Data Science Bowl 2018
Stars: ✭ 116 (-26.58%)
Image Segmentation FcnSemantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow
Stars: ✭ 82 (-48.1%)
Alpha poolingCode for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
Stars: ✭ 51 (-67.72%)
Neural Image CaptioningImplementation of Neural Image Captioning model using Keras with Theano backend
Stars: ✭ 12 (-92.41%)
Vgg16 PytorchVGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
Stars: ✭ 26 (-83.54%)
Keras Yolov3 MobilenetI transfer the backend of yolov3 into Mobilenetv1,VGG16,ResNet101 and ResNeXt101
Stars: ✭ 552 (+249.37%)
Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
Stars: ✭ 448 (+183.54%)
Cnn ModelsImageNet pre-trained models with batch normalization for the Caffe framework
Stars: ✭ 355 (+124.68%)
Holy EdgeHolistically-Nested Edge Detection
Stars: ✭ 277 (+75.32%)
Grad Cam Tensorflowtensorflow implementation of Grad-CAM (CNN visualization)
Stars: ✭ 261 (+65.19%)
Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
Stars: ✭ 21 (-86.71%)
dl-reluDeep Learning using Rectified Linear Units (ReLU)
Stars: ✭ 20 (-87.34%)
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 (-89.24%)
deep-dream-pytorchPytorch implementation of DeepDream on VGG16 Network
Stars: ✭ 46 (-70.89%)
Skin Lesions Classification DCNNsTransfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
Stars: ✭ 47 (-70.25%)
vgg-caffeThe VGG16 and VGG19 networks in caffe with jupyter notebook
Stars: ✭ 45 (-71.52%)
Image-ClassificationPre-trained VGG-Net Model for image classification using tensorflow
Stars: ✭ 29 (-81.65%)
tf-semantic-segmentation-FCN-VGG16Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF
Stars: ✭ 30 (-81.01%)
SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Stars: ✭ 2,641 (+1571.52%)
DeepfashionApparel detection using deep learning
Stars: ✭ 223 (+41.14%)
Retrieval 2017 CamClass-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
Stars: ✭ 219 (+38.61%)
S3fd.pytorchSFD implement with pytorch
Stars: ✭ 212 (+34.18%)
FreezeoutAccelerate Neural Net Training by Progressively Freezing Layers
Stars: ✭ 196 (+24.05%)
Ssd TensorflowA Single Shot MultiBox Detector in TensorFlow
Stars: ✭ 169 (+6.96%)