microprediction / timemachinesLinks
Predict time-series with one line of code.
☆423Updated 8 months ago
Alternatives and similar repositories for timemachines
Users that are interested in timemachines are comparing it to the libraries listed below
Sorting:
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆412Updated last year
- Forecasting with Gradient Boosted Time Series Decomposition☆195Updated last year
- If you can measure it, consider it predicted☆351Updated last week
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆670Updated last week
- AtsPy: Automated Time Series Models in Python (by @firmai)☆517Updated 2 years ago
- The practitioner's forecasting library☆339Updated last week
- Hierarchical Time Series Forecasting with a familiar API☆224Updated 2 years ago
- A python package for time series forecasting with scikit-learn estimators.☆161Updated last year
- A python library to build Model Trees with Linear Models at the leaves.☆373Updated 11 months ago
- Time Series Cross-Validation -- an extension for scikit-learn☆256Updated 2 years ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆271Updated last week
- World beating online covariance and portfolio construction.☆299Updated 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…☆759Updated 10 months ago
- Time should be taken seer-iously☆316Updated 2 years ago
- An extension of LightGBM to probabilistic modelling☆316Updated last year
- BATS and TBATS forecasting methods☆182Updated 2 years ago
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆598Updated 10 months ago
- PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.☆459Updated 2 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆618Updated last year
- Probabilistic Gradient Boosting Machines☆155Updated last year
- Flexible time series feature extraction & processing☆421Updated 9 months ago
- Automated Time Series Forecasting☆1,287Updated this week
- Scikit-learn style cross-validation classes for time series data☆278Updated 3 years ago
- Data, Benchmarks, and methods submitted to the M6 forecasting competition☆113Updated 8 months ago
- Scalable machine 🤖 learning for time series forecasting.☆1,035Updated 2 months ago
- A power-full Shapley feature selection method.☆208Updated last year
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆651Updated 4 months ago
- DeltaPy - Tabular Data Augmentation (by @firmai)☆547Updated last year
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆781Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆577Updated last year