JamesRitchie / scikit-rvm
Relevance Vector Machine implementation using the scikit-learn API.
☆231Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for scikit-rvm
- Python implementation of elastic-net regularized generalized linear models☆280Updated last year
- Python package for Bayesian Machine Learning with scikit-learn API☆514Updated 3 years ago
- minepy - Maximal Information-based Nonparametric Exploration☆215Updated 5 months ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆409Updated last year
- A garden for scikit-learn compatible trees☆285Updated 5 months ago
- High performance implementation of Extreme Learning Machines (fast randomized neural networks).☆192Updated 6 months ago
- Parallelized Mutual Information based Feature Selection module.☆289Updated 3 years ago
- scikit-learn compatible implementation of stability selection.☆210Updated last year
- Scikit-learn compatible estimation of general graphical models☆242Updated 8 months ago
- some tools for gaussian linear dynamical systems☆84Updated 6 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆175Updated 2 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆213Updated 5 years ago
- optimization routines for hyperparameter tuning☆416Updated 11 months ago
- Python code for bayesian optimization using Gaussian processes☆308Updated 7 years ago
- Bayesian optimization for Python☆241Updated 2 years ago
- Python3 binding to mRMR Feature Selection algorithm (currently not maintained)☆138Updated this week
- Confidence intervals for scikit-learn forest algorithms☆284Updated 4 months ago
- PCA that iteratively replaces missing data☆218Updated 10 months ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆459Updated last year
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆502Updated 3 years ago
- scikit-fusion: Data fusion via collective latent factor models☆144Updated last year
- pymc-learn: Practical probabilistic machine learning in Python☆223Updated 3 years ago
- Bayesian Python: Bayesian inference tools for Python☆689Updated last month
- Bayesian Networks in Python☆146Updated last year
- Python module for machine learning time series:☆572Updated 2 years ago
- A Recurrent Neural Network Toolbox for Python and Matlab☆99Updated 4 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆126Updated last year
- An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).☆82Updated 2 years ago
- Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.☆57Updated 6 years ago
- Convergent Cross Mapping in Scikit Learn's style☆98Updated 4 years ago