A Python library for Difference-in-Differences (DiD) causal inference analysis with an sklearn-like API and statsmodels-style outputs.

A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.

A compute manifest and composable tools for ML, built on Ibis, DataFusion, and Arrow Flight.

Statsmodels: statistical modeling and econometrics in Python

mkdocs plugin for reactive and interactive docs with marimo

A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

🤖 Just a command runner

Awesome Docker Compose samples

A curated awesome list of lists of interview questions. Feel free to contribute! 🎓

Repository for SEPAL: Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning

From type specifications to dataframe schemas

A kedro plugin that enables logging to the ml experiment tracker aim

My personal frontpage app

An example kedro project deployed with kedro-dagster

Flexible time series feature extraction & processing

Time series forecasting with machine learning models

Quantify the difference between two arbitrary curves in space

Time series easier, faster, more fun. Pytimetk.

Comparative analysis of pairwise interactions in multivariate time series.

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Survival analysis in Python

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

Python port of R's Comprehensive Dynamic Time Warp algorithms package

A python library for user-friendly forecasting and anomaly detection on time series.

Algorithms for outlier, adversarial and drift detection

Automatic extraction of relevant features from time series:

A unified framework for machine learning with time series

STUMPY is a powerful and scalable Python library for modern time series analysis