uber / orbitLinks
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
☆2,006Updated 4 months ago
Alternatives and similar repositories for orbit
Users that are interested in orbit are comparing it to the libraries listed below
Sorting:
- A flexible, intuitive and fast forecasting library☆1,850Updated 8 months ago
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆789Updated 2 months ago
- Automated Time Series Forecasting☆1,325Updated last week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,505Updated last month
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,380Updated last year
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆760Updated last year
- A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…☆1,679Updated 11 months ago
- Extra blocks for scikit-learn pipelines.☆1,365Updated last week
- Predictive Power Score (PPS) in Python☆1,165Updated 3 weeks ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆653Updated 9 months ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆702Updated this week
- NeuralProphet: A simple forecasting package☆4,184Updated 9 months ago
- Scalable machine 🤖 learning for time series forecasting.☆1,076Updated this week
- Natural Gradient Boosting for Probabilistic Prediction☆1,786Updated 2 weeks ago
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,541Updated last week
- Feature engineering package with sklearn like functionality☆2,143Updated last month
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,475Updated this week
- A Python package for causal inference in quasi-experimental settings☆1,046Updated last week
- EvalML is an AutoML library written in python.☆831Updated last week
- Fast SHAP value computation for interpreting tree-based models☆544Updated 2 years ago
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,435Updated last year
- Time series forecasting with machine learning models☆1,385Updated last week
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,146Updated 2 weeks ago
- An extension of XGBoost to probabilistic modelling☆657Updated 2 months ago
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆598Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆579Updated last year
- Predict time-series with one line of code.☆432Updated last year
- ruptures: change point detection in Python☆1,918Updated last week
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆6,212Updated this week
- A python library for time-series smoothing and outlier detection in a vectorized way.☆768Updated last year