scikit-learn: machine learning in Python

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Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23…

NumPy aware dynamic Python compiler using LLVM

Efficiently computes derivatives of NumPy code.

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

Python package for conformal prediction

Lightning ⚡️ fast forecasting with statistical and econometric models.

Recursive Bayesian Estimation (Sequential / Online Inference)

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

A unified framework for machine learning with time series

Statsmodels: statistical modeling and econometrics in Python

An open-access benchmark and toolbox for electricity price forecasting

Lightweight library for probabilistic forecast evaluation and optimization.

Multivariate imputation and matrix completion algorithms implemented in Python

Converters between Armadillo matrices (C++) and Numpy arrays using Pybind11

R Package for Probabilistic Forecast Combination

Library to provide simple client interface to Strava's REST API (v3).