golmschenk / sr-gan
Semi-supervised Regression GAN
☆39Updated 4 years ago
Alternatives and similar repositories for sr-gan:
Users that are interested in sr-gan are comparing it to the libraries listed below
- The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.☆24Updated 6 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆76Updated 6 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆64Updated 7 years ago
- Discriminative Feature Alignment for Unsupervised Domain Adaptation☆68Updated 4 years ago
- ☆35Updated 5 years ago
- Joint distribution optimal transportation for domain adaptation☆101Updated 7 years ago
- "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)☆102Updated 5 years ago
- Pytorch implementation of semi-supervised DCGAN based on "Improved Techniques for Training GANs"☆41Updated 3 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆58Updated 6 years ago
- An unofficial PyTorch implementation for CVPR 2019 work "Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation"☆43Updated 5 years ago
- Generative Adversarial Minority Oversampling☆33Updated 5 years ago
- Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling☆58Updated 3 years ago
- Unofficial pytorch implementation of algorithms for domain adaptation☆27Updated 6 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆36Updated 6 years ago
- Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation(AAAI-2019)☆82Updated 5 years ago
- A Keras framework for Adversarial Domain Adaptation☆34Updated 4 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆27Updated 6 years ago
- Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"☆172Updated 4 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 5 years ago
- Sparse Autoencoders using FashionMNIST dataset☆35Updated 6 years ago
- Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.☆56Updated 5 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆61Updated 7 years ago
- Implementation of a domain adaptation neural networks on the MNIST and SVHN datasets. I implemented this repo for a technical interview f…☆19Updated 6 years ago
- Implementation of graph-based semi-supervised algorithms☆11Updated 6 years ago
- Variational autoencoder for anomaly detection (in PyTorch).☆48Updated 5 years ago
- PyTorch semi-supervised clustering with Convolutional Autoencoders☆24Updated 6 years ago
- Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)☆58Updated 6 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year