uselessskills / auto_ml
In this repository we test AutoML approaches for time-series forecasting
☆13Updated 6 years ago
Alternatives and similar repositories for auto_ml:
Users that are interested in auto_ml are comparing it to the libraries listed below
- Example usage of scikit-hts☆56Updated 2 years ago
- Time Series Forecasting Framework☆41Updated last year
- M5 Uncertainty kaggle competition, 3rd place solution☆37Updated 8 months ago
- Public solution for AutoSeries competition☆72Updated 4 years ago
- Optuna + LightGBM = OptGBM☆35Updated 2 years ago
- ☆22Updated 3 years ago
- Better `keras` models for time series and beyond☆61Updated 10 months ago
- This package gives you the opportunity to use a Target mean Encoding.☆15Updated 3 years ago
- Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…☆32Updated 4 years ago
- Implementations of Quantile Regression☆28Updated 6 years ago
- fast implementation of singular spectrum transformation (change point detection algorithm)☆50Updated 6 years ago
- ☆49Updated 5 years ago
- Embed categorical variables via neural networks.☆59Updated last year
- Smart, automatic detection and stationarization of non-stationary time series data.☆29Updated 2 years ago
- Easy and intuitive generation of synthetic timeseries for Python.☆33Updated 2 months ago
- 12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting☆15Updated 6 years ago
- A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES☆31Updated 9 months ago
- Top 3% solution for Kaggle M5 Accuracy competition☆23Updated 4 years ago
- GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]☆32Updated 2 years ago
- Multivariate Adaptive Regression Splines for Time Series Prediction☆18Updated last year
- Probabilistic Multivariate Time Series Forecast using Deep Learning☆95Updated 5 years ago
- Winners of the Power Laws forecasting competition☆61Updated last year
- Time Series Anomaly Detection Toolkit☆22Updated 5 years ago
- A Keras-based library for analysis of time series data using deep learning algorithms.☆118Updated 6 years ago
- TSFresh primitives for featuretools☆36Updated 2 years ago
- Kaggle M5 Forecasting - Uncertainty 4th Place Solution☆31Updated 2 years ago
- Improved TabNet for TensorFlow☆51Updated 2 years ago
- Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data explorat…☆30Updated 4 years ago
- Entropy based binning of discrete variables.☆34Updated 4 years ago