meowoodie / Regularized-RBM
A regularized version of RBM for unsupervised feature selection.
☆13Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Regularized-RBM
- Public repo containing code to train, visualize, and evaluate semi-supervised topic models and baselines for regression/classification on…☆12Updated 4 years ago
- Robust Ensemble of SVMs☆21Updated 10 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- Clustering by fast search and find of density peaks☆77Updated 6 years ago
- Static (Python) and streaming (C++) implementations of xStream (KDD 2018).☆29Updated 6 years ago
- Lag Penalized Weighted Correlation for Time Series Clustering☆20Updated 4 years ago
- Bayesian Multitask Multiple Kernel Learning☆18Updated 6 years ago
- ☆12Updated 6 years ago
- This Python package implements algorithms for multiviews (multimodals) learning☆14Updated last month
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- Online multiclass boosting algorithm that uses VFDT as weak learners☆16Updated 6 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆74Updated 6 years ago
- Library for Kernel Online Learning☆11Updated 6 years ago
- Package to apply MTL on a few dataset☆25Updated 7 years ago
- Automatic missing value imputation using random forests☆14Updated 9 years ago
- Python implementation of Robust Continuous Clustering☆102Updated 5 years ago
- Python Matrix Factorization Module☆14Updated 7 years ago
- ☆11Updated 7 years ago
- Python code for "Fast Bayesian nonnegative matrix factorisation and tri-factorisation", presented at NIPS 2016 Workshop on Advances in Ap…☆20Updated 6 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆40Updated 2 years ago
- Algorithms for local community detection in networks☆24Updated 7 years ago
- ☆21Updated 5 years ago
- Making survival analysis work in TensorFlow☆19Updated 7 years ago
- Active Learning for Learning to Rank (LETOR)☆8Updated 8 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- A Python interface to the Feature Selection Toolkit, contains JMI, BetaGamma, CMIM, CondMI, DISR, ICAP, and mRMR☆18Updated 10 years ago
- Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)☆32Updated 6 years ago
- SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017☆25Updated 7 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆32Updated 10 years ago