AmazaspShumik / sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
☆514Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for sklearn-bayes
- Bayesian Python: Bayesian inference tools for Python☆689Updated last month
- my blog☆267Updated 2 years ago
- Bayesian Optimization using xgboost and sklearn API☆224Updated 8 years ago
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆892Updated 3 years ago
- optimization routines for hyperparameter tuning☆416Updated 11 months ago
- Relevance Vector Machine implementation using the scikit-learn API.☆231Updated 7 years ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆459Updated last year
- Scikit-learn compatible estimation of general graphical models☆242Updated 8 months ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 4 years ago
- Python implementation of elastic-net regularized generalized linear models☆280Updated last year
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆878Updated 4 years ago
- A garden for scikit-learn compatible trees☆285Updated 5 months ago
- Render probabilistic graphical models using matplotlib☆675Updated this week
- Sequence learning toolkit for Python☆689Updated last year
- pymc-learn: Practical probabilistic machine learning in Python☆223Updated 3 years ago
- Bayesian optimization for Python☆241Updated 2 years ago
- megaman: Manifold Learning for Millions of Points☆322Updated last year
- ☆158Updated 2 years ago
- Python code for bayesian optimization using Gaussian processes☆308Updated 7 years ago
- Tuning hyperparams fast with Hyperband☆593Updated 6 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆329Updated 4 years ago
- Confidence intervals for scikit-learn forest algorithms☆284Updated 4 months ago
- Bayesian Optimization using GPflow☆270Updated 3 years ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆262Updated 3 months ago
- RoBO: a Robust Bayesian Optimization framework☆483Updated 5 years ago
- PyStan, the Python interface to Stan☆920Updated 3 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆554Updated last year
- Collection of jupyter notebooks for demonstrating software.☆165Updated last year
- ☆744Updated last year
- Gaussian Process Optimization using GPy☆929Updated last year