tlatkowski / tf-feature-selectionLinks
Implementation of various feature selection methods using TensorFlow library.
☆9Updated 2 years ago
Alternatives and similar repositories for tf-feature-selection
Users that are interested in tf-feature-selection are comparing it to the libraries listed below
Sorting:
- Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…☆13Updated 7 years ago
- Deep Multiple Kernel Learning by Span Bound☆10Updated 10 years ago
- Matlab implementation of TCK☆12Updated 5 years ago
- Kernel k-means and adaptive non-parametric clustering☆8Updated 5 years ago
- Implementation of Robust PCA and Robust Deep Autoencoder over Time Series☆14Updated 5 years ago
- Demonstration code for missing data imputation using Variational Autoencoders (VAE)☆23Updated 6 years ago
- A toolbox for predicting miRNA-disease associations☆11Updated 8 years ago
- Fast Correlation-Based Feature Selection☆31Updated 8 years ago
- A library of fuzzy rough machine learning algorithms☆30Updated 2 months ago
- An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection☆11Updated 7 years ago
- Python codes for Lasso feature selection☆13Updated 5 years ago
- A python implementation of a genetic algorithm based approach for cost sensitive learning☆8Updated 5 years ago
- RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-imbalanced Labels for Network Embedding. AAAI18☆13Updated 5 years ago
- Exploratory Data Analysis, Dealing with Missing Values, Data Munging, Ensembled Regression Model using Stacked Regressor, XGBoost and mic…☆22Updated 7 years ago
- Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data☆29Updated 5 years ago
- ☆17Updated 2 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆47Updated 4 years ago
- Tensorflow implementation for Deep Cognitive Subspace Clustering (DeepCogSC)☆11Updated 5 years ago
- ☆22Updated 5 years ago
- Dynamic Attention Networks For Time Series State Forecasting in Cyber Physical Systems☆10Updated 5 years ago
- Attributed Biased Random Walks (ABRW) is an Attributed Network Embedding method☆12Updated 3 years ago
- ☆13Updated 6 years ago
- An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras☆41Updated 7 years ago
- Tensorflow implementation of Deep Embedded Clustering (DEC) for unsupervised learning☆20Updated 7 years ago
- Multi-view Spectral Clustering on Conflicting Views☆15Updated 7 years ago
- This is an App developed in Python to implement the algorithm for minimum redundancy maximum ralevance. The formulation was based on a re…☆13Updated 7 years ago
- A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations☆20Updated 3 years ago
- Houses implementation of the Fast Correlation-Based Filter (FCBF) feature selection method.☆61Updated 3 years ago
- Select filter features with mutual-information-based methods☆11Updated last year
- Transfer Learning for Survival Analysis via Efficient L2,1-norm Regularized Cox Regression☆13Updated 8 years ago