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13 search results found
Giqa
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138
Pytorch implementation of Generated Image Quality Assessment
Lmdis Rep
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130
"Unsupervised Discovery of Object Landmarks as Structural Representations" Project page: http://www.ytzhang.net/projects/lmdis-rep/
Pytorch_tutorial
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103
Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.
Transferlearningtutorial
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95
Applying transfer learning to a custom dataset by retraining Inception's final layer
Pytorch Image Classification
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79
Classifying cat and dog images using Kaggle dataset
Hi Vae
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56
Floydhub.fast.ai
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39
Cifar 10h
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32
Original dataset release for CIFAR-10H
Keras_catvsdog_tf_estimator
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32
Source for post "An Easy Guide to build new TensorFlow Datasets and Estimator with Keras Model"
Resnet 50 For Cats.vs.dogs
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31
Cops Ref
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22
Accepted by CVPR 2020.
Deep Hive
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20
Using your audience as a hive mind for deep learning
Pytinyimage
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18
Python version of Tiny Image Dataset Access
Pairgan
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18
Ckanapi Exporter
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18
Export dataset metadata from CKAN to Excel-compatible CSV
Chn
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10
Hacker news on Console with auto classifer and recommender in reactjs style code
Auto Keras Imageclassifier Tutorial
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10
This repo is intended to serve as a reference for using Auto-Keras for your personal image dataset
Torchdatasets
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10
Extra datasets for torch
Image Classification
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9
How to do Image Classification using Keras
Raspberrypi Arduino
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8
RaspberryPi and Arduino are very interesting, I have tried to do more project with them.
Contextencoder_cat S_head_inpainting_tensorflow
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8
Inplementing the paper 'Context Encoders: Feature Learning by Inpainting' by TensorFlow
Cat_recognition
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8
Cat Detection and Breed Recognition
Mobilenet Keras
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8
Mobilenet-Keras
Power Of A Neuron
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7
Cats vs Dogs Image Classification using Logistic Regression
Image_classification
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7
In this project, you'll classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects. The dataset will need to be preprocessed, then train a convolutional neural network on all the samples. You'll normalize the images, one-hot encode the labels, build a convolutional layer, max pool layer, and fully connected layer. At then end, you'll see their predictions on the sample images.
Grad_cam Pytorch Resnet50
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6
Class activate map
Ml_datasets
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6
Open source ML datasets
Comparisons Among Various Deep Nets In Dogs Vs Cats Dataset
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5
Comparisons among AlexNet, VGG19, GoogLeLNet, ResNet and Inception ResNet in Dogs-VS-Cats dataset
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