Quantco / glumLinks
High performance Python GLMs with all the features!
☆338Updated last week
Alternatives and similar repositories for glum
Users that are interested in glum are comparing it to the libraries listed below
Sorting:
- A high-performance implementation of Wilkinson formulas for Python.☆391Updated 4 months ago
- Efficient matrix representations for working with tabular data☆121Updated last week
- ☆112Updated last week
- Fast and modular sklearn replacement for generalized linear models☆173Updated last week
- Polars least squares extension - enables fast linear model polar expressions☆156Updated 8 months ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆267Updated 3 weeks ago
- Exploring and eliciting probability distributions☆137Updated last week
- Powerful add-ons for PyMC☆102Updated this week
- Python wrapper for nuts-rs☆147Updated this week
- implementation of Cyclic Boosting machine learning algorithms☆89Updated 9 months ago
- Competing Risks and Survival Analysis☆102Updated 2 weeks ago
- Formulas for mixed-effects models in Python☆59Updated 4 months ago
- Polars extension for general data science use cases☆510Updated this week
- Time should be taken seer-iously☆316Updated 2 years ago
- Quantile Regression Forests compatible with scikit-learn.☆230Updated last month
- Randomization-based inference in Python☆79Updated last week
- Simplifying conditional Polars Expressions with Python 🐍 🐻❄️☆116Updated 2 weeks ago
- Probabilistic Gradient Boosting Machines☆154Updated last year
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.☆33Updated last week
- Examples of PyMC models, including a library of Jupyter notebooks.☆326Updated 3 weeks ago
- Wrapper allowing to use Polars DataFrames and LazyFrames for plotting with seaborn☆27Updated last year
- Combining tree-boosting with Gaussian process and mixed effects models☆607Updated last week
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆72Updated last month
- PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io☆353Updated 11 months ago
- MetaLearners for CATE estimation☆43Updated this week
- bayes-toolbox☆92Updated this week
- Polars plugin for pairwise distance functions☆72Updated last month
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆228Updated this week
- A multiverse of Prophet models for timeseries☆50Updated this week