uber / orbitLinks
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
☆2,032Updated 8 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☆1,854Updated 11 months ago
- NeuralProphet: A simple forecasting package☆4,239Updated last year
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆799Updated 5 months ago
- Automated Time Series Forecasting☆1,343Updated this week
- A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…☆1,710Updated 2 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,430Updated last year
- Natural Gradient Boosting for Probabilistic Prediction☆1,825Updated 2 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,572Updated 2 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆662Updated last year
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,683Updated this week
- Scalable machine 🤖 learning for time series forecasting.☆1,157Updated this week
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,190Updated last week
- Extra blocks for scikit-learn pipelines.☆1,376Updated 2 weeks ago
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,060Updated last week
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆763Updated last year
- EvalML is an AutoML library written in python.☆843Updated 3 weeks ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆728Updated last week
- Predictive Power Score (PPS) in Python☆1,172Updated 4 months ago
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆6,280Updated this week
- A Python package for causal inference in quasi-experimental settings☆1,098Updated this week
- The machine learning toolkit for time series analysis in Python☆3,089Updated this week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,509Updated last week
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆599Updated last year
- Algorithms for outlier, adversarial and drift detection☆2,483Updated last month
- Fast SHAP value computation for interpreting tree-based models☆553Updated 2 years ago
- An extension of XGBoost to probabilistic modelling☆686Updated last month
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆677Updated 11 months ago
- ruptures: change point detection in Python☆1,976Updated 3 weeks ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆583Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆643Updated last year