Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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May 10, 2020 - Python
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vgg
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An Implementation of Fully Convolutional Networks in Tensorflow.
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Dec 15, 2017 - Python
Classification models trained on ImageNet. Keras.
keras
vgg
imagenet
densenet
resnet
pretrained-models
inceptionv3
resnext
pretrained-weights
imagenet-classifier
mobilenet
classification-model
senet
xception
nasnet
inception-resnet-v2
squeeze-and-excitation
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Apr 7, 2020 - Python
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
machine-learning
deep-learning
keras
vgg
dcgan
autoencoder
densenet
resnet
keras-tutorials
squeezenet
inception
resnext
automl
mobilenet
siamese-network
shufflenet
senet
xception
tensorflow-keras
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Jun 25, 2020 - Jupyter Notebook
Implementation of popular deep learning networks with TensorRT network definition APIs
vgg
resnet
alexnet
squeezenet
inceptionv3
googlenet
resnext
tensorrt
senet
arcface
mobilenetv2
yolov3
seresnet
shufflenetv2
mnasnet
retinaface
mobilenetv3
yolov3-spp
yolov4
yolov5
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Jun 23, 2020 - C++
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
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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
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Nov 26, 2017 - Python
天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet
neural-network
keras
scikit-image
vgg
classification
lung-cancer-detection
segmentation
densenet
resnet
inception
unet
lung-segmentation
lung-nodule-detection
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May 10, 2019 - Jupyter Notebook
仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...
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May 10, 2020 - Jupyter Notebook
zqztxdi
commented
Feb 28, 2019
Traceback (most recent call last):
File "run.py", line 136, in
cv2.imshow('in', vectormap[0, :, :, 0])
cv2.error: OpenCV(4.0.0) C:\projects\opencv-python\opencv\modules\highgui\src\window_w32.cpp:1230: error: (-215:Assertion failed) dst.data == (uchar*)dst_ptr in function 'cvShowImage'
An easy implement of VGG19 with tensorflow, which has a detailed explanation.
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May 25, 2018 - Python
AI场景分类竞赛
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May 3, 2018 - Python
Artificial Intelligence Learning Notes.
machine-learning
reinforcement-learning
computer-vision
deep-learning
tensorflow
image-processing
cnn
dropout
vgg
lenet
alexnet
harris
sift
image-segmentation
image-augmentation
hog
image-denoising
dpm
image-enhancement
activation-function
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Jan 28, 2020 - Python
Various CNN models for CIFAR10 with Chainer
deep-learning
chainer
convnet
vgg
neural-networks
densenet
resnet
convolutional-neural-networks
residual-networks
cifar10
deep-convolutional-networks
wide-residual-networks
network-in-network
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Dec 6, 2018 - Python
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
tutorial
cnn
pytorch
vgg
lenet
image-classification
resnet
alexnet
convolutional-networks
convolutional-neural-networks
convolutional-neural-network
pytorch-tutorial
pytorch-tutorials
pytorch-cnn
pytorch-implmention
torchvision
pytorch-implementation
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Jun 2, 2020 - Jupyter Notebook
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
deep-learning
pytorch
vgg
floydhub
model-architecture
densenet
resnet
alexnet
convolutional-neural-networks
squeezenet
transfer-learning
pretrained-models
inception-v3
imagenet-dataset
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Oct 18, 2017 - Python
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
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Jun 29, 2018 - 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
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Dec 8, 2019 - Jupyter Notebook
TensorFlow implementation of real-time style transfer using feed-forward generation. This builds on the original style-transfer algorithm and allows for common personal computers to transform images.
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Aug 7, 2017 - Python
X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2
deep-neural-networks
deep-learning
tensorflow
image-processing
medical-imaging
vgg
classification
chest-xray-images
inception-resnet
x-ray
medical-image-processing
x-ray-images
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Mar 28, 2018 - Python
Speaker identification with VGGVox network
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Nov 30, 2018 - Python
A collection of codes for 'how far can we go with MNIST' challenge
competition
convnet
mnist
vgg
rnn
mnist-classification
ensemble
resnet
highway-network
data-augmentation
mnist-model
tf-kr
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May 7, 2017
用python做计算机视觉，人工智能，机器学习，深度学习等
python
opencv
machine-learning
deep-neural-networks
computer-vision
deep-learning
mxnet
numpy
artificial-intelligence
vgg
densenet
resnet
alexnet
gluon
googlenet
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Dec 24, 2017 - Jupyter Notebook
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Jun 9, 2020
Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
pytorch
vgg
mnist-classification
lenet
densenet
resnet
googlenet
resnext
mobilenet
shufflenet
dual-path-networks
senet
baselines
capsnet
mobilenetv2
pnasnet
preact-resnet
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Dec 26, 2018 - Python
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The 2x down-sampling is one of the important operations in reference models. But, a convolution or a pooling with
stride=2, padding='SAME'may result in different outputs over different deep learning libraries (e.g., TensorFlow, CNTK, Theano, Caffe, Torch, ...) due to their different padding behaviors.For example (TensorNets syntax; but can be regarded as pseudo codes for other libraries),