antoinecarme / pyaf
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
☆459Updated last month
Alternatives and similar repositories for pyaf:
Users that are interested in pyaf are comparing it to the libraries listed below
- AtsPy: Automated Time Series Models in Python (by @firmai)☆515Updated 2 years ago
- Hierarchical Time Series Forecasting with a familiar API☆224Updated 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…☆753Updated 8 months ago
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆598Updated 9 months ago
- A python library for Bayesian time series modeling☆484Updated 7 months ago
- Time should be taken seer-iously☆315Updated 2 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆328Updated 4 years ago
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆777Updated last year
- Python module for machine learning time series:☆575Updated 2 years ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆411Updated last year
- Python package for causal inference using Bayesian structural time-series models.☆240Updated 4 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- An open source library for Fuzzy Time Series in Python☆270Updated 9 months ago
- BATS and TBATS forecasting methods☆182Updated 2 years ago
- A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…☆151Updated last year
- 🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams☆507Updated last year
- A Multipurpose Library for Synthetic Time Series Generation in Python☆365Updated last year
- Data imputations library to preprocess datasets with missing data☆359Updated 3 years ago
- A python package for time series forecasting with scikit-learn estimators.☆161Updated last year
- A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.☆383Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆612Updated last year
- Python package for Imputation Methods☆248Updated last year
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆517Updated last month
- Data, Benchmarks, and methods submitted to the M4 forecasting competition☆771Updated 5 years ago
- Data, Benchmarks, and methods submitted to the M5 forecasting competition☆614Updated 2 years ago
- A python library for time-series smoothing and outlier detection in a vectorized way.☆756Updated last year
- Time Series Cross-Validation -- an extension for scikit-learn☆255Updated 2 years ago
- scikit-learn-inspired time series☆200Updated last year
- machine learning with logical rules in Python☆634Updated last year
- Predict time-series with one line of code.☆422Updated 6 months ago