The official Python library for the OpenAI API

Detecting if a foundation model was trained on a given series

Time series forecasting with machine learning models

Making it easier to show matplotlib charts in FastHTML

AI Agents for Timeseries Forecasting

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …

An extremely fast Python package and project manager, written in Rust.

forecasting app using fasthtml

The complete load testing platform. Everything you need for production-grade load tests. Serverless & distributed. Load test with Playwright. Load test HTTP APIs, GraphQL, WebSocket, and more. Use …

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

A Tutorial for Setting Python Development Environment with VScode and Docker

Supporting material and website for the paper "Anomaly Detection in Time Series: A Comprehensive Evaluation"

Open-source calculator for determining best Social Security claiming age(s)

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

Seamlessly integrate LLMs into scikit-learn.

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

A python package for time series forecasting with scikit-learn estimators.

A toolkit for machine learning from time series

Modern Time Series Forecasting with Python, published by Packt

🧙 Scalable machine learning forecasting framework with Pyspark

Datasets for time series forecasting

A python project template for educational purposes

The practitioner's forecasting library

Cyclic Boosting Machines - an explainable supervised machine learning algorithm

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.