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
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆65Updated 7 years ago
- Semi-supervised Learning GAN☆81Updated 7 years ago
- In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…☆99Updated 6 years ago
- A Keras framework for Adversarial Domain Adaptation☆34Updated 5 years ago
- Semi-supervised Regression GAN☆39Updated 5 years ago
- Keras implementation of Attention Augmented Convolutional Neural Networks☆121Updated 5 years ago
- Implementation of Densely Connected Convolutional Network with Keras and TensorFlow.☆43Updated 5 years ago
- A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance☆158Updated 6 years ago
- Implementation of "MixMatch: A Holistic Approach to Semi-Supervised Learning" in TensorFlow 2.0☆12Updated 5 years ago
- "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)☆105Updated 5 years ago
- Simple tensorflow-keras implementation of SKConv in Selective Kernel Networks☆30Updated 4 years ago
- this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wust…☆63Updated 7 years ago
- Keras implementation of Residual Attention Network☆109Updated 7 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆55Updated 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
- Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !☆100Updated 4 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 5 years ago
- It contains the Attention-56 and Attention-96 models built from scratch in keras. Residual Attention Networks are described in the paper …☆38Updated 7 years ago
- PyTorch semi-supervised clustering with Convolutional Autoencoders☆24Updated 6 years ago
- implement Domain-Adversarial Training of Neural Networks☆60Updated 7 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆133Updated 2 years ago
- Simple Keras implementation of Triplet-Center Loss on the MNIST dataset☆45Updated 6 years ago
- This is an implementation of compact bilinear CNN using keras☆24Updated 6 years ago
- PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning☆111Updated 6 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆62Updated 7 years ago
- Unfinished Work: Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch☆16Updated 5 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆39Updated last week
- Keras implementation of Octave Convolutions☆53Updated 6 years ago