functime-org / functime
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
☆1,037Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for functime
- Scalable machine 🤖 learning for time series forecasting.☆890Updated this week
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆586Updated this week
- Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applicati…☆674Updated 3 months ago
- Time series easier, faster, more fun. Pytimetk.☆693Updated this week
- Polars extension for general data science use cases☆374Updated this week
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆367Updated 6 months ago
- Lightweight and extensible compatibility layer between dataframe libraries!☆556Updated this week
- Automated Time Series Forecasting☆1,120Updated this week
- Predict time-series with one line of code.☆405Updated 2 weeks ago
- A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.☆1,297Updated this week
- A curated list of Polars talks, tools, examples & articles. Contributions welcome !☆750Updated this week
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆3,965Updated this week
- Flexible time series feature extraction & processing☆401Updated 2 months ago
- Visualize large time series data with plotly.py☆1,035Updated last week
- A toolkit for machine learning from time series☆1,007Updated this week
- Python package for conformal prediction☆448Updated last month
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆734Updated 2 months ago
- If you can measure it, consider it predicted☆334Updated this week
- Extra blocks for scikit-learn pipelines.☆1,271Updated this week
- The practitioner's forecasting library☆332Updated last week
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆582Updated 8 months ago
- Feature engineering package with sklearn like functionality☆1,917Updated this week
- distfit is a python library for probability density fitting.☆365Updated 5 months ago
- An extension of LightGBM to probabilistic modelling☆273Updated 4 months ago
- Prepping tables for machine learning☆1,207Updated this week
- Quantile Regression Forests compatible with scikit-learn.☆209Updated this week
- Scalable and user friendly neural forecasting algorithms.☆3,076Updated this week
- Forecasting with Gradient Boosted Time Series Decomposition☆187Updated last year
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,877Updated 3 months ago
- A Python package for causal inference in quasi-experimental settings☆901Updated this week