JamesRitchie / scikit-rvm
Relevance Vector Machine implementation using the scikit-learn API.
☆234Updated 7 years ago
Alternatives and similar repositories for scikit-rvm:
Users that are interested in scikit-rvm are comparing it to the libraries listed below
- Python package for Bayesian Machine Learning with scikit-learn API☆517Updated 3 years ago
- minepy - Maximal Information-based Nonparametric Exploration☆221Updated 9 months ago
- High performance implementation of Extreme Learning Machines (fast randomized neural networks).☆196Updated last month
- Python implementation of elastic-net regularized generalized linear models☆280Updated last year
- Parallelized Mutual Information based Feature Selection module.☆286Updated 3 years ago
- Python code for bayesian optimization using Gaussian processes☆311Updated 8 years ago
- Python toolbox for nonnegative matrix factorization☆113Updated 6 years ago
- Scikit-learn compatible estimation of general graphical models☆247Updated last year
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆415Updated 2 years ago
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 7 months ago
- Scikit-learn compatible Locality Preserving Projections in Python☆93Updated 6 years ago
- Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.☆57Updated 7 years ago
- A garden for scikit-learn compatible trees☆286Updated 9 months ago
- Python implementation of Multivariate Singular Spectrum Analysis (MSSA)☆163Updated 5 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆214Updated 6 years ago
- Randomized output tree for multilabel / multi-output regression tasks☆23Updated 9 years ago
- Python bindings to interesting matlab libraries for data analysis☆86Updated 8 years ago
- optimization routines for hyperparameter tuning☆418Updated last year
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆459Updated last year
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated 8 months ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆179Updated 3 years ago
- Randomized online matrix factorization☆138Updated 4 years ago
- A practical tool for Maximal Information Coefficient (MIC) analysis☆131Updated last year
- ☆232Updated 7 years ago
- Python extension for UCR Suite highly optimized subsequence search using Dynamic Time Warping (DTW)☆120Updated 5 years ago
- Python module for machine learning time series:☆574Updated 2 years ago
- Singular Spectrum Analysis for time series forecasting in Python☆144Updated 4 years ago
- A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.☆93Updated last year