mikekeith52 / scalecastLinks
The practitioner's forecasting library
☆342Updated last month
Alternatives and similar repositories for scalecast
Users that are interested in scalecast are comparing it to the libraries listed below
Sorting:
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆424Updated last year
- Forecasting with Gradient Boosted Time Series Decomposition☆196Updated 2 years ago
- A python package for time series forecasting with scikit-learn estimators.☆162Updated last year
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆694Updated 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…☆760Updated last year
- Predict time-series with one line of code.☆430Updated 10 months ago
- A python library to build Model Trees with Linear Models at the leaves.☆381Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆579Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆225Updated 2 years ago
- Scalable machine 🤖 learning for time series forecasting.☆1,064Updated 2 weeks ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆664Updated 6 months ago
- Flexible time series feature extraction & processing☆428Updated last year
- An extension of LightGBM to probabilistic modelling☆330Updated last month
- Datasets for time series forecasting☆108Updated this week
- Quantile Regression Forests compatible with scikit-learn.☆241Updated last week
- A python library for time-series smoothing and outlier detection in a vectorized way.☆764Updated last year
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆152Updated 4 months ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆112Updated 4 months ago
- A power-full Shapley feature selection method.☆210Updated last year
- A library to generate synthetic time series data by easy-to-use factors and generator☆153Updated last year
- distfit is a python library for probability density fitting.☆400Updated 2 weeks ago
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆189Updated last year
- An extension of XGBoost to probabilistic modelling☆643Updated last month
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆631Updated last year
- Data, Benchmarks, and methods submitted to the M6 forecasting competition☆119Updated 11 months ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆189Updated 2 months ago
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆83Updated this week
- PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.☆461Updated last month
- All Relevant Feature Selection☆140Updated 5 months ago
- Transfer 🤗 Learning for Time Series Forecasting☆251Updated 9 months ago