statistical-python / yaglmLinks
A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.
☆58Updated 2 years ago
Alternatives and similar repositories for yaglm
Users that are interested in yaglm are comparing it to the libraries listed below
Sorting:
- Fast and modular sklearn replacement for generalized linear models☆186Updated last month
- Formulas for mixed-effects models in Python☆63Updated 9 months ago
- Exploring and eliciting probability distributions☆155Updated last week
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆122Updated last week
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆233Updated 4 months ago
- Bayesian inference and posterior analysis for Python☆46Updated last year
- Bayesian Regression Models in Pyro☆73Updated last year
- Solve ODEs fast, with support for PyMC☆117Updated last year
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆71Updated last year
- Simulation based calibration and generation of synthetic data.☆56Updated last month
- computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep …☆40Updated 3 years ago
- A library for bayesian variable selection☆31Updated 9 months ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated 2 years ago
- Tools for an Aesara-based PPL.☆67Updated last year
- State of the art inference for your bayesian models.☆226Updated 6 months ago
- Powerful add-ons for PyMC☆122Updated last week
- ABCpy package☆116Updated last year
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆85Updated this week
- Randomization-based inference in Python☆84Updated last week
- Tutorials and sampling algorithm comparisons☆78Updated last week
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago
- ☆126Updated this week
- Self-tuning HMC algorithms and evaluations☆19Updated last year
- probabilistic programming focused on fun☆43Updated last week
- Distance correlation and related E-statistics in Python☆158Updated last year
- Gaussian Process Model Building Interface☆51Updated 7 months ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- Python wrapper for nuts-rs☆177Updated last week
- A temporary repository hosting a pomegranate re-write using PyTorch as the backend.☆73Updated 2 years ago
- A regression solver for high dimensional penalized linear, quantile and logistic regression models'☆91Updated 4 months ago