mikekeith52 / scalecast
The practitioner's forecasting library
☆334Updated last week
Alternatives and similar repositories for scalecast:
Users that are interested in scalecast are comparing it to the libraries listed below
- A python package for time series forecasting with scikit-learn estimators.☆161Updated 11 months ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆396Updated 11 months ago
- Forecasting with Gradient Boosted Time Series Decomposition☆193Updated last year
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆633Updated this 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…☆749Updated 7 months ago
- Predict time-series with one line of code.☆421Updated 5 months ago
- Transfer 🤗 Learning for Time Series Forecasting☆244Updated 3 months ago
- Scalable machine 🤖 learning for time series forecasting.☆990Updated last week
- Datasets for time series forecasting☆89Updated last month
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆574Updated 9 months ago
- Flexible time series feature extraction & processing☆413Updated 6 months ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆630Updated last month
- An extension of LightGBM to probabilistic modelling☆295Updated 9 months ago
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆183Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆224Updated last year
- Automated Time Series Forecasting☆1,223Updated 2 weeks ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆611Updated last year
- A python library for time-series smoothing and outlier detection in a vectorized way.☆749Updated last year
- A python library to build Model Trees with Linear Models at the leaves.☆373Updated 8 months ago
- Collection of notebooks for time series analysis☆389Updated 2 months ago
- Modern Time Series Forecasting with Python 2E, Published by Packt☆119Updated 2 months ago
- Resources for working with time series and sequence data☆578Updated 2 months ago
- Data, Benchmarks, and methods submitted to the M6 forecasting competition☆105Updated 5 months ago
- ☆115Updated last year
- If you can measure it, consider it predicted☆345Updated last week
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆57Updated 3 weeks ago
- PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)☆356Updated last year
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆104Updated last week
- Quantile Regression Forests compatible with scikit-learn.☆227Updated last week
- Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Mode…☆117Updated 2 years ago