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Search results for svhn
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188 search results found
Pytorch Playground
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2,366
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
Uda
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1,782
Unsupervised Data Augmentation (UDA)
Autoaugment
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1,382
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
Bayesgan
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1,002
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
Wgan Tensorflow
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557
a tensorflow implementation of WGAN
See
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506
Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
Noisystudent
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491
Code for Noisy Student Training. https://arxiv.org/abs/1911.04252
Cycada_release
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470
Code to accompany ICML 2018 paper
Stn Ocr
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450
Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
Stochastic_depth
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443
Deep Networks with Stochastic Depth
Nips14 Ssl
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414
Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"
Pba
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400
Efficient Learning of Augmentation Policy Schedules
Imbalanced Semi Self
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393
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Datasetcondensation
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382
Dataset Condensation (ICLR21 and ICML21)
Draw
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346
Reimplementation of DRAW
Mnist Svhn Transfer
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345
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
Cliquenet
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321
Convolutional Neural Networks with Alternately Updated Clique (to appear in CVPR 2018)
Glow Pytorch
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317
Simple, extendable, easy to understand Glow implementation in PyTorch
Binaryconnect
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315
Training Deep Neural Networks with binary weights during propagations
Cutout
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302
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
Ali
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300
Adversarially Learned Inference
Binarynet
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252
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Fusenet
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233
Deep fusion project of deeply-fused nets, and the study on the connection to ensembling
Group Normalization Tensorflow
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205
A TensorFlow implementation of Group Normalization on the task of image classification
Adda
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200
Vat_tf
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199
Virtual adversarial training with Tensorflow
Variational Ladder Autoencoder
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198
Implementation of VLAE
Svhnclassifier
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182
A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
Tripletnet
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174
Deep metric learning using Triplet network
Eas
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165
Efficient Architecture Search by Network Transformation, in AAAI 2018
Yolo Digit Detector
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164
Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.
Ssl_bad_gan
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157
Good Semi-Supervised Learning That Requires a Bad GAN
Confidence_estimation
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147
Learning Confidence for Out-of-Distribution Detection in Neural Networks
Svhnclassifier Pytorch
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145
A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
Infogan Pytorch
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143
PyTorch Implementation of InfoGAN
Dirt T
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142
A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
Gmvae
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136
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Dsn
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132
Deeply-supervised Nets
Deep Learning
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128
Deep Learning Application Examples
Oneshottranslation
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126
Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
Confident_classifier
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125
Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
Opencompounddomainadaptation Ocda
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125
Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)
Ict
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122
Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)
Deep_mahalanobis_detector
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118
Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
Metaqnn
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115
Unsupervised Data Augmentation
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110
Unofficial PyTorch Implementation of Unsupervised Data Augmentation.
Autonovel
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110
Automatically Discovering and Learning New Visual Categories with Ranking Statistics (ICLR 2020)
Adversarial Feature Augmentation
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109
Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018
Svhn Deep Digit Detector
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105
Deep-digit-detector (and recognizer) in natural scene. A digit detection framework was implemented using keras with tensorflow backend.
Simplenet
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83
This repository contains the architectures, Models, logs, etc pertaining to the SimpleNet Paper (Lets keep it simple: Using simple architectures to outperform deeper architectures )
Generalize Unseen Domains
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81
Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018
Mmvae
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80
Multimodal Mixture-of-Experts VAE
Binaryconnect
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79
Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016
Pytorch Deep Generative Replay
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77
PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017
Tf2 Eager Yolo3
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76
Yolo-v3 model was implemented with tf2 eager style. I also implemented the eager model's training function and applied it to other datasets (digit detector, vehicle detector).
Enaet
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73
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
Semantic Image Inpainting
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72
Tensorflow implementation of Semantic Image Inpainting with Deep Generative Models
Virtual Adversarial Training
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72
Pytorch implementation of Virtual Adversarial Training
Discgen
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69
Code for the "Discriminative Regularization for Generative Models" paper.
Street_view_house_numbers
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68
Explored CNNs with TensorFlow to create models for cropped single-digit and original multi-digit images from SVHN dataset.
Enaet
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63
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
Triplegan Tensorflow
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60
Simple Tensorflow implementation of Triple Generative Adversarial Nets (NIPS 2017)
Pathnet Pytorch
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60
PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Robust Ood Detection
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59
Robust Out-of-distribution Detection in Neural Networks
Gibbsnet
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57
Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
Deep Learning Multipliers
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57
Training deep neural networks with low precision multiplications
Model Deployment Flask
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54
'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev
Drcn
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53
Svhn Multi Digit
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50
Ssl Suite
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43
SSL using PyTorch
Cuda Convnet
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43
started from Alex's code on google code
Ali Pytorch
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41
PyTorch implementation of Adversarially Learned Inference (BiGAN).
Openset Da
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41
Code for 'Open Set Domain Adaptation by Backpropagation'
Einsumnetworks
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40
Svhn Cnn
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40
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
Domaintransfernetwork.pytorch
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39
A pytorch implementation of the Domain Transfer Network (DTN), Unsupervised Cross-Domain Image Generation
Street View House Numbers Svhn Detection And Classification Using Cnn
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38
A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.
Realistic Ssl Evaluation Pytorch
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38
Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
Gen Viz
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37
Code for the paper "Understanding Generalization through Visualizations"
Numnum
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36
Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.
Mergan
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36
Nice_pytorch
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36
Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.
Vat_chainer
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36
Implementation of Virtual adversarial training with chainer
Informative Outlier Mining
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35
We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs and establishes state-of-the-art performance.
Wide Residual Network
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35
Wide-residual network implementations. Best result for cifar10(97.12%), cifar100(84.12%), and other kaggle challenges
Advflow
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34
[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".
Visual Attention Model
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34
Cac Openset
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34
Code for Class Anchor Clustering loss for training a distance-based open set classifier
Captcha Cracking
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33
Crack number and Chinese captcha with both traditional and deep learning methods, based on Torch and python.
Deepjdot
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33
Implementation of DeepJDOT in Keras
Dann_tf2.0
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33
DANN in TensorFlow 2.0
Rebnet
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29
Residual Binarized Neural Network
Weakly Supervised Text Detection
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29
I implemented a detection algorithm with a classification data set that does not have annotation information for the bounding box. Based on resnet50 network, I implemented text detector using class activation mapping method.
Vq Draw
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28
A discrete sequential VAE
Gan Manifold Regularization
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28
This is the code we used in our paper accepted at ICLR 2018
Sntg
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28
Tensorflow Svhn
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28
A tensorflow model trained using the svhn dataset to detect digit sequences in the real world.
Ali Pytorch
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27
Adversarially Learned Inference in Pytorch
Svhn
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27
Based on the CIFAR10 example on TensorFlow. Reconfiguring it to run my own images and data.
Patchup
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26
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