SpringerNLP / Chapter11
Chapter 11: Transfer Learning/Domain Adaptation
☆18Updated 5 years ago
Alternatives and similar repositories for Chapter11:
Users that are interested in Chapter11 are comparing it to the libraries listed below
- Keras version of the MMD-Variational-Autoencoder☆10Updated 5 years ago
- Unsupervised Deep Learning for Temporal Multi-Omics☆24Updated 6 years ago
- Experiments with Adversarial Autoencoders using Keras☆22Updated 5 years ago
- Hierarchical Transfer Component Analysis and Hierarchical Joint Domian Adaption are implemented in this repository.☆20Updated 6 years ago
- Extension of the `Attention Augmented Convolutional Networks` paper for 1-D convolution operation.☆25Updated 5 years ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 6 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- A python implementation of a genetic algorithm based approach for cost sensitive learning☆8Updated 5 years ago
- Demonstration code for missing data imputation using Variational Autoencoders (VAE)☆23Updated 6 years ago
- Deep Feature Selection using Teacher Student Network☆43Updated 5 years ago
- Multivariate Time Series Classification using Dilated Convolutional Neural Network☆11Updated 5 years ago
- The code for the models described in "Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU" (KDD 2018).☆21Updated 4 years ago
- The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.☆24Updated 6 years ago
- MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records (KDD 2019)☆48Updated 5 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆59Updated 6 years ago
- Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image gene…☆24Updated 7 months ago
- ☆25Updated 6 years ago
- A comparison of various dimensionality reduction techniques from scikit-learn. Including PCA, t-SNE, LLE, Hessian LLE, Modified LLE, Isom…☆14Updated 6 years ago
- A Keras framework for Adversarial Domain Adaptation☆34Updated 4 years ago
- DANN in TensorFlow 2.0☆44Updated 2 years ago
- Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.☆11Updated 7 years ago
- Stacked Denoising AutoEncoder☆76Updated 5 years ago
- Multi-directional Recurrent Neural Networks (MRNN) - IEEE TBME 2019☆41Updated 5 years ago
- DeepPINK: reproducible feature selection in deep neural networks☆21Updated last year
- Dual Adversarial Autoencoder for Generating Set-valued Sequences☆18Updated 4 years ago
- CancelOut is a special layer for deep neural networks that can help identify a subset of relevant input features for streaming or static …☆26Updated 4 years ago
- Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)☆54Updated 4 years ago
- Online Semi-supervised Learning + Online Heterogeneous Transfer Learning☆28Updated 9 years ago
- ☆17Updated 6 years ago
- MATLAB Implementation of SMOTE related algorithms☆31Updated 8 months ago