microprediction / timemachinesLinks
Predict time-series with one line of code.
☆432Updated last year
Alternatives and similar repositories for timemachines
Users that are interested in timemachines are comparing it to the libraries listed below
Sorting:
- Forecasting with Gradient Boosted Time Series Decomposition☆197Updated 2 years ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆435Updated last year
- A python library to build Model Trees with Linear Models at the leaves.☆387Updated last year
- A python package for time series forecasting with scikit-learn estimators.☆162Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆225Updated 2 years ago
- The practitioner's forecasting library☆345Updated last week
- Time Series Cross-Validation -- an extension for scikit-learn☆258Updated 2 years ago
- AtsPy: Automated Time Series Models in Python (by @firmai)☆518Updated 2 years ago
- BATS and TBATS forecasting methods☆183Updated 2 years ago
- If you can measure it, consider it predicted☆362Updated 3 weeks ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆712Updated 3 weeks ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆286Updated 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
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆154Updated 6 months ago
- Time should be taken seer-iously☆317Updated 2 years ago
- An extension of LightGBM to probabilistic modelling☆343Updated 3 months ago
- Probabilistic Gradient Boosting Machines☆157Updated last year
- Flexible time series feature extraction & processing☆432Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆638Updated last year
- DeltaPy - Tabular Data Augmentation (by @firmai)☆555Updated 2 years ago
- A library to generate synthetic time series data by easy-to-use factors and generator☆154Updated last year
- Data, Benchmarks, and methods submitted to the M6 forecasting competition☆127Updated last year
- A power-full Shapley feature selection method.☆211Updated last month
- Quantile Regression Forests compatible with scikit-learn.☆246Updated 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…☆673Updated 8 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆529Updated 7 months ago
- PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.☆459Updated last week
- distfit is a python library for probability density fitting.☆406Updated last week
- World beating online covariance and portfolio construction.☆310Updated 3 weeks ago
- All Relevant Feature Selection☆142Updated 7 months ago