SvenSerneels / direpackLinks
A Python 3 package for state-of-the-art statistical dimension reduction methods
☆41Updated last year
Alternatives and similar repositories for direpack
Users that are interested in direpack are comparing it to the libraries listed below
Sorting:
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- Bayesian time series forecasting and decision analysis☆116Updated 2 years ago
- A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.☆99Updated 2 months ago
- Distance correlation and related E-statistics in Python☆154Updated 11 months ago
- An extension of CatBoost to probabilistic modelling☆147Updated last year
- Code for performing various projection pursuit routines☆36Updated 3 years ago
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago
- Elo ratings for global black box derivative-free optimizers☆141Updated 6 months ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- ☆122Updated last week
- Python package for performing the Alternating Conditional Expectation (ACE) regression☆72Updated 2 years ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- Efficient matrix representations for working with tabular data☆123Updated last week
- mlmachine accelerates machine learning experimentation☆29Updated 3 years ago
- Supervised forecasting of sequential data in Python.☆55Updated 6 years ago
- Missing data amputation and exploration functions for Python☆71Updated 2 years ago
- Fast and modular sklearn replacement for generalized linear models☆181Updated last week
- Gaussian Process Model Building Interface☆51Updated 5 months ago
- An automated machine learning tool aimed to facilitate AutoML research.☆99Updated 11 months ago
- tsbootstrap: generate bootstrapped time series samples in Python☆81Updated last month
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆275Updated this week
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- Time series analysis suite☆100Updated 2 years ago
- This is the implementation of Sparse Projection Oblique Randomer Forest☆99Updated last year
- A regression solver for high dimensional penalized linear, quantile and logistic regression models'☆90Updated last month
- bayes-toolbox☆93Updated last month
- Extends scikit-learn with new models, transformers, metrics, plotting.☆73Updated 3 weeks ago
- Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.☆168Updated last year
- pymc-learn: Practical probabilistic machine learning in Python☆230Updated 4 years ago