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188 search results found
Tf Generative
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25
TensorFlow implementation of deep generative models, such as VAEs and GANs.
Amp Regularizer
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25
Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021
Residual Flow
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25
An implementation of the Residual Flow algorithm for out-of-distribution detection.
Dada
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24
code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"
Margin Openset
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23
[ICCV2019] Attract or Distract: Exploit the Margin of Open Set
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.
Svhn_cnn
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23
Four digit SVHN (Street View House Number) sequence prediction with CNN using Keras with TensorFlow backend
Theano Xnor Net
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23
Theano implementation of XNOR-Net
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
Digit Recognition Mnist Svhn Pytorch Cpp
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20
Implementing CNN for Digit Recognition (MNIST and SVHN dataset) using PyTorch C++ API
Chainer Adda
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20
Adversarial Discriminative Domain Adaptation in Chainer
Generalizing Lottery Tickets
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19
This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"
Ss Infogan
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19
Semi-supervised InfoGAN
Mmdgm
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19
Code of "Max-margin Deep Generative Models" (NIPS15)
Vgan
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18
Svhn Classification Using Tensorflow
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17
Attempt to implement classificatin of SVHN Dataset using Tensorflow
Sequence Detector
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17
Identifying digits and sequences with CNNs using TensorFlow
Incremental Gan
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17
Just some experiments on GANs hallucinating data samples for an incremental learner.
Epsilonresnet
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17
The implementation of epsilon ResNet
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
Svhn Multi Digit Torch
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15
Torch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
Split Vae
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14
Original implementation of Separated Paths for Local and Global Information framework (SPLIT) in TensorFlow 2.
Adversarial Classifier
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14
It turns out that adversarial and clean data are not twins, not at all.
Extra_keras_datasets
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13
📃🎉 Additional datasets for tensorflow.keras
Autoencoder_based_image_compression
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13
Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371
Dann
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13
Pytorch implementation of DANN
Sr Capsnet
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13
Code for Self-Routing Capsule Networks
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.
Neuboots
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12
Neural Bootstrapper (NeuBoots)
Keras Sde Net
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12
Keras implementation of SDE-Net (ICML 2020).
Analytical Learning Theory
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12
97.39% on CIFAR10 with PyTorch
Fada Pytorch
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11
PyTorch implementation of https://arxiv.org/abs/1711.02536
Confidence Calibrated Adversarial Training
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11
Implementation of Confidence-Calibrated Adversarial Training (CCAT).
Mmdcgm Ssl
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11
mmDCGMs for accurate classification and excellent class-conditional generation in semi-supervised learning
Sovnet
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11
Centeredwn
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11
This project is the Torch implementation of our ICCV 2017 paper: Centered Weight Normalization in Accelerating Training of Deep Neural Networks
Adv_vae
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11
Adversarial Images for Variational Autoencoders
Covtesting
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11
DNN Coverage Based Testing Study
Deepdomainadaptation
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10
Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DANN (domain-adversarial neural network), Deep JDOT (joint distribution optimal transportation)
Google Street View House Numbers Digit Localization
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10
Localizing the the digits in images from the Google SVHN dataset
Deeplearning
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10
MNIST, SVHN, Transfered Learning, DNN, CNN
Usadtm
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10
PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020)
Perceptual Autoencoders
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10
Experiments with perceptual loss and autoencoders.
Semisupervised Learning With Dcgans
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9
Using DCGANs to learn useful representations during the adversarial training process and using the learned features to classify images with relatively little training data
T1t2
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9
Theano implementation of T1-T2 gradient-based method for tuning continuous hyperparameters.
Mobilenetv3
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9
An implementation of MobileNetV3 with pyTorch
Svhn
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9
Number Recognition using Deep Learning
Pytorch Quant
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9
DL quantization for pytorch
Convnet Torch
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9
Training Deep Convolutional Networks on visual classification tasks
Mdr
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9
Deep CNN for multi-digit classification using Tensorflow
A Da Gan Architecture
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9
A basic architecture of "DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks"
Svhn Classifier
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8
Simple classifier to classify SVHN images, based on Keras with the Tensorflow backend.
Unit Mnist Svhn
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8
Implementation of Unsupervised Image-to-Image Translation Networks paper
Preprocess Svhn
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8
Preprocess Google Street View House Number (SVHN) dataset, producing a set of PNG images.
Deep Hybrid Models
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8
Deep hybrid models: bridging discriminative and generative approaches https://cs.stanford.edu/~ermon/papers/uai2017_cr.p
Pytorch Demo
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8
A small demo for training cnn with pytorch.
Entangled Watermark
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8
Udacity Ml Nanodegrees
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7
Udacity-ML-nanodegrees,totally 6 project....已毕业,拿到纳米学位
Svhn
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7
Ood Detection
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7
Code for "Zero-Shot Out-of-Distribution Detection with Feature Correlations"
Scgan
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7
Code for reproducing experiments in "SCGAN: Disentangled Representation Learning by Adding Similarity Constraint on Generative Adversarial Nets"
Associative Domain Adaptation
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7
A simple domain adaptation example
Rcnn
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7
Svhn
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6
Street View House Numbers Solution
Wgan Gp Pytorch
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6
Implementation of "Improved Training of Wasserstein GANs" in PyTorch
Room Number Recognition
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6
room number recognition service for indoor self-driving cars
Semisup_scarse
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6
PyTorch implementation of Semi-Supervised Learning with Scarce Annotations https://arxiv.org/pdf/1905.08845.pdf
Capstone Google Svhn Digits Recognition
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6
The Project for Udacity Deep Learning
Arch_uncert
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6
Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)
Wasserstein Bigan
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6
Wasserstein BiGAN (Bidirectional GAN trained using Wasserstein distance)
Bilevel Penalty
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6
Svhn_classifier
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6
a tensor flow code to learn a classifier on SVHN dataset
Digit Recognition
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6
Digit Recognition Project for Udacity's Machine Learning ND
Outdomainexamples
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6
Adversarial Out-domain Examples for Generative Models: Adversarial examples for GAN generators
Domain Adaptation
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6
Implementation of a domain adaptation neural networks on the MNIST and SVHN datasets.
Bidirectional Infogan
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5
Results and Implementation Details of: "Inferencing Based on Unsupervised Learning of Disentangled Representations"
Mixupfamily
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5
The implementation of mixup and mainfold mixup method with standard models(PreActRes, WideRes, Dense) in Cifar10, Cifar100 and SVHN dataset on supervised(sl) and semi-supervised(ssl) tasks.
Img2txt
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5
A series of experiments using convnets and LSTMs to generate text from images
Tf_datasets
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5
Python scripts to download public datasets and generate tfrecords.
Mbrdl
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5
Repository for reproducing `Model-Based Robust Deep Learning`
Svhn_capstone_project
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5
Street View House Number Detection Using Deep Learning
Falcon
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5
FALCON for compressing CNN
Learning_by_memory
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5
101-188 of 188 search results
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