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134 search results found
Neuboots
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12
Neural Bootstrapper (NeuBoots)
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
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)
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.
Mobilenetv3
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9
An implementation of MobileNetV3 with pyTorch
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"
T1t2
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9
Theano implementation of T1-T2 gradient-based method for tuning continuous hyperparameters.
Mdr
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9
Deep CNN for multi-digit classification using Tensorflow
Svhn
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9
Number Recognition using Deep Learning
Pytorch Quant
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9
DL quantization for pytorch
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
Svhn Classifier
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8
Simple classifier to classify SVHN images, based on Keras with the Tensorflow backend.
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
Entangled Watermark
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8
Pytorch Demo
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8
A small demo for training cnn with pytorch.
Associative Domain Adaptation
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7
A simple domain adaptation example
Scgan
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7
Code for reproducing experiments in "SCGAN: Disentangled Representation Learning by Adding Similarity Constraint on Generative Adversarial Nets"
Bilevel Penalty
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6
Wasserstein Bigan
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6
Wasserstein BiGAN (Bidirectional GAN trained using Wasserstein distance)
Domain Adaptation
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6
Implementation of a domain adaptation neural networks on the MNIST and SVHN datasets.
Room Number Recognition
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6
room number recognition service for indoor self-driving cars
Svhn_classifier
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6
a tensor flow code to learn a classifier on SVHN dataset
Semisup_scarse
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6
PyTorch implementation of Semi-Supervised Learning with Scarce Annotations https://arxiv.org/pdf/1905.08845.pdf
Mbrdl
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5
Repository for reproducing `Model-Based Robust Deep Learning`
Bidirectional Infogan
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5
Results and Implementation Details of: "Inferencing Based on Unsupervised Learning of Disentangled Representations"
Tf_datasets
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5
Python scripts to download public datasets and generate tfrecords.
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.
Learning_by_memory
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5
Falcon
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5
FALCON for compressing CNN
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