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134 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)
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
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
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
Eas
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165
Efficient Architecture Search by Network Transformation, in AAAI 2018
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
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)
Oneshottranslation
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126
Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
Opencompounddomainadaptation Ocda
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125
Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)
Confident_classifier
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125
Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
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
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.
Enaet
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63
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
Pathnet Pytorch
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60
PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Triplegan Tensorflow
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60
Simple Tensorflow implementation of Triple Generative Adversarial Nets (NIPS 2017)
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
Ssl Suite
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43
SSL using PyTorch
Openset Da
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41
Code for 'Open Set Domain Adaptation by Backpropagation'
Ali Pytorch
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41
PyTorch implementation of Adversarially Learned Inference (BiGAN).
Einsumnetworks
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40
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.
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
Mergan
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36
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.
Cac Openset
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34
Code for Class Anchor Clustering loss for training a distance-based open set classifier
Advflow
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34
[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".
Deepjdot
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33
Implementation of DeepJDOT in Keras
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.
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.
Gan Manifold Regularization
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28
This is the code we used in our paper accepted at ICLR 2018
Svhn
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27
Based on the CIFAR10 example on TensorFlow. Reconfiguring it to run my own images and data.
Ali Pytorch
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27
Adversarially Learned Inference in Pytorch
Patchup
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26
Residual Flow
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25
An implementation of the Residual Flow algorithm for out-of-distribution detection.
Tf Generative
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25
TensorFlow implementation of deep generative models, such as VAEs and GANs.
Dada
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24
code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"
Svhn_cnn
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23
Four digit SVHN (Street View House Number) sequence prediction with CNN using Keras with TensorFlow backend
Svhn Voc Annotation Format
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23
This project provides the svhn dataset in PASCAL VOC Annotation Format and simple viewer tool to confirm annotation.
Theano Xnor Net
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23
Theano implementation of XNOR-Net
Margin Openset
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23
[ICCV2019] Attract or Distract: Exploit the Margin of Open Set
Drcn
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23
Pytorch implementation of Deep Reconstruction Classification Networks
Improvedgan Tensorflow
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21
A Tensorflow implementation of Semi-supervised Learning GAN
Chainer Adda
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20
Adversarial Discriminative Domain Adaptation in Chainer
Mmdgm
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19
Code of "Max-margin Deep Generative Models" (NIPS15)
Vgan
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18
Epsilonresnet
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17
The implementation of epsilon ResNet
Svhn Classification Using Tensorflow
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17
Attempt to implement classificatin of SVHN Dataset using Tensorflow
Incremental Gan
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17
Just some experiments on GANs hallucinating data samples for an incremental learner.
Robustdl_gan
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16
Atda
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16
Implemenation of Asymmetric-TriTraining by Tensorflow
Gan Manifold Reg
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16
This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning
Nice
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15
PyTorch implementation of NICE
Adversarial Classifier
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14
It turns out that adversarial and clean data are not twins, not at all.
Split Vae
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14
Original implementation of Separated Paths for Local and Global Information framework (SPLIT) in TensorFlow 2.
Sr Capsnet
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13
Code for Self-Routing Capsule Networks
Dann
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13
Pytorch implementation of DANN
Svhn Multi Digit Recognition
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13
A implementation of [Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks](https://arxiv.org/pdf/1312.6082.pdf).
Retinanet Digit Detector
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12
Implemented digit detector in natural scene. I used SVHN as the training set, and implemented it using keras-retinanet.
Keras Sde Net
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12
Keras implementation of SDE-Net (ICML 2020).
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