koshian2 / Pseudo-Label-KerasLinks
Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras
☆37Updated 6 years ago
Alternatives and similar repositories for Pseudo-Label-Keras
Users that are interested in Pseudo-Label-Keras are comparing it to the libraries listed below
Sorting:
- A simple implementation of domain adversarial training with GAN loss in Keras☆58Updated 7 years ago
- Semi-supervised Learning GAN☆81Updated 8 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆65Updated 7 years ago
- A Keras framework for Adversarial Domain Adaptation☆34Updated 5 years ago
- In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…☆99Updated 7 years ago
- Semi-supervised Regression GAN☆39Updated 5 years ago
- Implementation of "MixMatch: A Holistic Approach to Semi-Supervised Learning" in TensorFlow 2.0☆12Updated 6 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆26Updated 6 years ago
- A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance☆161Updated 6 years ago
- "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)☆105Updated 5 years ago
- PyTorch semi-supervised clustering with Convolutional Autoencoders☆24Updated 6 years ago
- Keras implementation of Attention Augmented Convolutional Neural Networks☆121Updated 5 years ago
- Comparing active learning, semi-supervised learning and combination of them on deep learning.☆14Updated 8 years ago
- Code for research paper "Learning a Neural Network based Representation for Open Set Recognition" M. Hassen, P. K. Chan☆26Updated 5 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated 2 years ago
- Tensorflow Implementation of open set domain adaptation by backpropagation☆30Updated 6 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆135Updated 2 years ago
- A simple and effective method for single-class classification of images☆161Updated 3 years ago
- Transfer Learning☆10Updated 7 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆39Updated last month
- Unfinished Work: Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch☆16Updated 5 years ago
- Implementation of Densely Connected Convolutional Network with Keras and TensorFlow.☆43Updated 5 years ago
- PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning☆111Updated 7 years ago
- implement Domain-Adversarial Training of Neural Networks☆60Updated 7 years ago
- Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"☆142Updated 6 years ago
- Open-set Recognition with Adversarial Autoencoders☆39Updated 6 years ago
- ☆23Updated 6 years ago
- Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection…☆194Updated 6 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆62Updated 8 years ago