stylianos-kampakis / supervisedPCA-Python
☆39Updated 9 years ago
Alternatives and similar repositories for supervisedPCA-Python:
Users that are interested in supervisedPCA-Python are comparing it to the libraries listed below
- Group Lasso implementation following the scikit-learn API☆106Updated 8 months ago
- A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.☆92Updated last year
- Implementation of Hidden Markov Models in pymc3☆60Updated 7 years ago
- Distance correlation and related E-statistics in Python☆147Updated 5 months ago
- A regression solver for high dimensional penalized linear, quantile and logistic regression models'☆84Updated 4 months ago
- Python software for selective inference☆51Updated last year
- A practical tool for Maximal Information Coefficient (MIC) analysis☆130Updated 11 months ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆179Updated 3 years ago
- A Python package for General Graphical Lasso computation☆32Updated 2 months ago
- Software to create Precision-Recall-Gain curves and calculate area under the curve☆40Updated 2 years ago
- Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…☆77Updated last year
- Multi-task regression in Python☆26Updated 4 years ago
- ☆32Updated 6 years ago
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆214Updated 6 months ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- This is a Python package wrapper around the C solver for the l1 trend filtering algorithm written by Kwangmoo Koh, Seung-Jean Kim and Ste…☆20Updated 6 years ago
- A non-parametric Bayesian approach to Hidden Markov Models☆85Updated last year
- Generalized additive models in Python with a Bayesian twist☆77Updated 8 months ago
- An extension of CatBoost to probabilistic modelling☆142Updated last year
- sliced: scikit-learn compatible sufficient dimension reduction☆22Updated 7 months ago
- This is the implementation of Sparse Projection Oblique Randomer Forest☆98Updated 9 months ago
- A Python 3 package for state-of-the-art statistical dimension reduction methods☆40Updated 8 months ago
- Python package for missing-data imputation with deep learning☆144Updated 5 months ago
- ☆98Updated 6 years ago
- Scikit-learn compatible estimation of general graphical models☆247Updated 11 months ago
- pymc-learn: Practical probabilistic machine learning in Python☆226Updated 4 years ago
- Software for selective inference☆17Updated last year
- Transforms univariate data into normally distributed data☆75Updated 2 years ago
- REGAIN (Regularised Graphical Inference)☆29Updated last year