Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
-
Updated
May 10, 2020 - Python
#
vgg16
Here are 417 public repositories matching this topic...
I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101
-
Updated
Mar 17, 2019 - Python
food image to recipe with deep convolutional neural networks.
food
recipes
data-science
machine-learning
recognition
deep-learning
chef
keras
jupyter-notebook
cnn
python3
vgg
classification
food-classification
convolutional-neural-networks
vgg16
inceptionv3
tsne
dish
cooking-dishes
-
Updated
May 20, 2020 - Jupyter Notebook
ImageNet pre-trained models with batch normalization for the Caffe framework
caffe
vgg
batch-normalization
imagenet
resnet
alexnet
vggnet
pretrained-models
vgg16
fine-tune
vgg19
cnn-model
caffe-framework
pre-trained
fine-tuning-cnns
resnet-10
resnet-50
resnet-preact
ilsvrc
very-deep-cnn
-
Updated
Nov 26, 2017 - Python
Video Classification using 2 stream CNN
-
Updated
Oct 5, 2018 - Python
Holistically-Nested Edge Detection
-
Updated
May 13, 2020 - Python
tensorflow implementation of Grad-CAM (CNN visualization)
visualization
grad-cam
machinelearning
resnet
convolutional-neural-networks
vgg16
tesnorflow
gradcam
-
Updated
May 25, 2018 - Jupyter Notebook
Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
deep-learning
keras
pytorch
convolutional-neural-networks
transfer-learning
vgg16
cam
image-retrieval
class-activation-maps
visual-instance-search
-
Updated
Apr 19, 2019 - Python
berk-can
commented
Mar 3, 2019
When I try to install requirements from txt it cannot find opencv==1.0.1 I looked up pypi doesnt shot package named as opencv, is it from another source?
Accelerate Neural Net Training by Progressively Freezing Layers
-
Updated
Aug 15, 2018 - Python
SFD implement with pytorch
-
Updated
Jan 2, 2019 - Python
A Single Shot MultiBox Detector in TensorFlow
-
Updated
Mar 20, 2019 - Python
The purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).
-
Updated
Jul 18, 2017 - Python
Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing
-
Updated
Apr 2, 2019 - Jupyter Notebook
Deep learning codes and projects using Python
machine-learning
computer-vision
deep-learning
keras
cnn
recurrent-neural-networks
artificial-intelligence
generative-adversarial-network
neural-networks
rnn
image-classification
resnet
convolutional-neural-networks
object-detection
vgg16
google-colab
-
Updated
Jan 6, 2020 - Jupyter Notebook
xmacex
commented
Jan 7, 2020
Both training and also inference needs CUDA, the Nvidia framework for their GPU hardware. This could be mentioned in the README documentation upfront.
Kaggle Data Science Bowl 2018
docker
dockerfile
gpu
python3
pytorch
kaggle
dwt
vgg16
unet
data-science-bowl-2018
deep-watershed-transform
-
Updated
Apr 24, 2018 - Jupyter Notebook
Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
python
deep-learning
keras
cnn
embeddings
places365
vgg16
scene-recognition
places2-dataset
baseline-cnns
-
Updated
Feb 24, 2020 - Python
各种深度学习结构、模型和技巧的集合
tensorflow
cnn
pytorch
gan
mnist
vgg
rnn
autoencoder
svhn
resnet
alexnet
deeplearning
mlp
vgg16
celeba
quickdraw
deep-learning-tutorial
char-rnn
cifar10
pytorch-tutorial
-
Updated
Dec 8, 2019 - Jupyter Notebook
Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow
-
Updated
Jun 25, 2017 - Python
A neural network to generate captions for an image using CNN and RNN with BEAM Search.
deep-learning
recurrent-neural-networks
lstm
attention
image-captioning
beam-search
convolutional-neural-networks
vgg16
inceptionv3
attention-mechanism
cnn-keras
captioning-images
bleu-score
flickr-dataset
inception-v3
bleu
attention-model
image-caption
caption-generation
flickr-8k
-
Updated
Nov 22, 2019 - Python
Detecting near-duplicate videos by aggregating features from intermediate CNN layers
-
Updated
May 6, 2018 - Jupyter Notebook
Semantically segment the road in the given image.
-
Updated
Dec 8, 2017 - Python
kning
commented
Aug 13, 2018
Great script! This issue is to raise how difficult it was to actually get it to run on my computer. Most notably, tensorflow and certain Python 3 versions don't play nicely.
It ended up working with the following settings for me (running macOS Sierra 10.12.6):
- Python 3.6.5 (installed through homebrew, [this url in particular](https://raw.githubusercontent.com/Homebrew/homebrew-core/f2a764ef9
Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
image-classification
vgg16
fine-tuning-cnns
fine-grained
fine-tuning
fine-grained-classification
alpha-pooling
-
Updated
Jan 3, 2018 - Jupyter Notebook
Handwritten digit recognition with MNIST & Keras
python
mnist
image-recognition
resnet
vgg16
residual-networks
handwritten-digit-recognition
deep-convolutional-networks
wide-residual-networks
mobilenet
ensemble-methods
super-learner
-
Updated
Apr 19, 2019 - Python
Example of Deconvnet in PyTorch for VGG16
-
Updated
Aug 30, 2017 - Python
Improve this page
Add a description, image, and links to the vgg16 topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the vgg16 topic, visit your repo's landing page and select "manage topics."
with video_demo.py about 20% speed compared to your 1.0 repo. but thanks much for sharing!