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48 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)
Cycada_release
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470
Code to accompany ICML 2018 paper
Mnist Svhn Transfer
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345
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
Adda
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200
Variational Ladder Autoencoder
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198
Implementation of VLAE
Tripletnet
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174
Deep metric learning using Triplet network
Ssl_bad_gan
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157
Good Semi-Supervised Learning That Requires a Bad GAN
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
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
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
Deep Learning Multipliers
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57
Training deep neural networks with low precision multiplications
Openset Da
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41
Code for 'Open Set Domain Adaptation by Backpropagation'
Svhn Cnn
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40
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
Mergan
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36
Nice_pytorch
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36
Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.
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
Vq Draw
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28
A discrete sequential VAE
Margin Openset
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23
[ICCV2019] Attract or Distract: Exploit the Margin of Open Set
Theano Xnor Net
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23
Theano implementation of XNOR-Net
Chainer Adda
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20
Adversarial Discriminative Domain Adaptation in Chainer
Digit Recognition Mnist Svhn Pytorch Cpp
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20
Implementing CNN for Digit Recognition (MNIST and SVHN dataset) using PyTorch C++ API
Ss Infogan
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19
Semi-supervised InfoGAN
Incremental Gan
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17
Just some experiments on GANs hallucinating data samples for an incremental learner.
Atda
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16
Implemenation of Asymmetric-TriTraining by Tensorflow
Nice
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15
PyTorch implementation of NICE
Dann
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13
Pytorch implementation of DANN
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
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)
Pytorch Quant
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9
DL quantization for pytorch
T1t2
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9
Theano implementation of T1-T2 gradient-based method for tuning continuous hyperparameters.
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
Unit Mnist Svhn
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8
Implementation of Unsupervised Image-to-Image Translation Networks paper
Entangled Watermark
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8
Pytorch Demo
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8
A small demo for training cnn with pytorch.
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
Svhn
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7
Digit Recognition
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6
Digit Recognition Project for Udacity's Machine Learning ND
Arch_uncert
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6
Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)
Domain Adaptation
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6
Implementation of a domain adaptation neural networks on the MNIST and SVHN datasets.
Learning_by_memory
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5
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