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xception
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Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)
deep-learning
pytorch
image-classification
densenet
resnet
squeezenet
inceptionv3
googlenet
resnext
cifar100
mobilenet
inceptionv4
shufflenet
xception
nasnet
inception-resnet-v2
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Updated
Aug 27, 2019 - 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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Updated
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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Updated
Jun 4, 2020 - Jupyter Notebook
でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet
machine-learning
deep-learning
neural-network
chainer
tensorflow
keras
pytorch
dcgan
vae
seq2seq
machinelearning
deeplearning
ga
wgan
wgan-gp
xception
seq2seq-attention
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Updated
Jun 3, 2020 - Jupyter Notebook
猫狗大战
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Updated
May 21, 2018 - Jupyter Notebook
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
pytorch
coco
eval
ccnet
cityscapes
mobilenet
xception
deeplabv3plus
deeplab-v3-plus
fast-scnn
hrnet
pointrend
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Updated
May 3, 2020 - Python
A treasure chest for image classification powered by PaddlePaddle
image-classification
knowledge-distillation
data-augmentation
mixup
xception
autoaugment
res2net
mobilenetv3
efficientnet
cutmix
hrnet
randaugment
gridmask
resnetvd
ssld
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Updated
Jun 5, 2020 - Python
AI场景分类竞赛
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Updated
May 3, 2018 - Python
This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.
pytorch
semantic-segmentation
encoder-decoder
deeplab
xception
deeplab-v3-plus
pascal-voc2012
dilated-convolution
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Updated
Nov 23, 2018 - Python
Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet
densenet
squeezenet
classify
xception
mobilenetv2
pelee
dsod
shufflenetv2
mobilenetv1
shufflenetv1
tfrecord-decode
resnetxt
tinydsod
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Updated
Dec 23, 2018 - Python
Easy-to-use scripts for training and inferencing with Xception on your own dataset
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Updated
Dec 6, 2019 - Python
Deep learning based tool for image processing. No need for Programing and GPU.
python
opencv
gui
deep-learning
model-zoo
tensorflow
keras
kivy
colab
image-classification
object-detection
beginner
image-segmentation
unet
mask-rcnn
xception
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Updated
Jan 28, 2020 - Python
training a classification model with xray14 dataset
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Updated
Oct 1, 2018 - Jupyter Notebook
Xception V1 model in Tensorflow with pretrained weights on ImageNet
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Updated
Apr 9, 2018 - Python
Pytorch implementation of DeepLab V3+
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Updated
Apr 13, 2019 - Python
Generating image captions using Xception Network and Beam Search in Keras
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Updated
Apr 3, 2020 - Jupyter Notebook
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Updated
Jan 29, 2018 - Jupyter Notebook
99.7% accuracy solution for Dogs vs Cats Redux Kaggle competition
cat
machine-learning
deep-learning
notebook
jupyter-notebook
dog
ipython-notebook
prediction
kaggle
ensemble
bottleneck
bottleneck-features
xception
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Updated
Nov 2, 2017 - Jupyter Notebook
Chainer implementation of the paper "Xception: Deep Learning with Depthwise Separable Convolutions" (https://arxiv.org/abs/1610.02357).
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Updated
May 17, 2018 - Python
Simple Eye Blink Detection with CNN
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Updated
Nov 22, 2019 - Python
Defect classificaiton using NEU dataset
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Updated
Apr 24, 2018 - Python
Given an image of a dog, our algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.
tensorflow
keras
image-processing
cnn
face-detection
convolutional-neural-networks
maxpooling
resnet-50
global-average-pooling
bottleneck-features
xception
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Updated
Nov 25, 2018 - HTML
Implementation of state-of-the-art models to do segmentation over our own dataset.
computer-vision
densenet
cnn-keras
tiramisu103
fcn-8s
xception
mobilenetv2
deeplabv3
deeplabv3plus
depthwise-separable-convolutions
unet-keras
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Updated
Jun 3, 2020 - Jupyter Notebook
Pytorch Implementation of Image Classifiers (MobileNet, ResNet, Xception)
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Updated
Feb 2, 2020 - Jupyter Notebook
Landmark Recognition(Google Challenge on Kaggle) Using Transfer Learning
deep-neural-networks
tensorflow
keras
python3
kaggle-competition
neural-networks
deeplearning
transfer-learning
pretrained-models
vgg16
keras-models
cnn-keras
resnet-50
cnn-classification
xception
inception-resnet-v2
landmark-recognition
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Updated
Aug 6, 2019 - Jupyter Notebook
Cdiscount Image Classification Challenge on kaggle.com
deep-learning
tensorflow
python3
kaggle
kaggle-competition
convolutional-neural-networks
vgg16
resnext
xception
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Updated
Jan 5, 2018 - Python
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When training, the augmentation
RandomScaleCropmay downscale the image and the target label image. It then pads the image and the label with [self.fill][1] which is ZERO.This is in contrast to the "ignore value" of the loss [that is set to 255][2].
This way the loss treats the padded region as valid "class 0" pixels and compute loss for it.
self.fillof the augmentation functions