cyrilou242 / mockseriesLinks
Easy and intuitive generation of synthetic timeseries for Python.
☆40Updated last year
Alternatives and similar repositories for mockseries
Users that are interested in mockseries are comparing it to the libraries listed below
Sorting:
- A library for Time Series EDA (exploratory data analysis)☆71Updated last year
- Better `keras` models for time series and beyond☆61Updated last year
- skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms☆36Updated 2 weeks ago
- Smart, automatic detection and stationarization of non-stationary time series data.☆29Updated 3 years ago
- Validation for forecasts☆18Updated 2 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated 7 months ago
- Example usage of scikit-hts☆57Updated 3 years ago
- Hierarchical Time Series Forecasting with a familiar API☆225Updated 2 years ago
- ☆24Updated 3 years ago
- BATS and TBATS forecasting methods☆182Updated 2 years ago
- ☆38Updated 3 years ago
- Automated Transparent Genetic Feature Engineering☆22Updated 2 years ago
- Supervised forecasting of sequential data in Python.☆55Updated 6 years ago
- A python package for time series forecasting with scikit-learn estimators.☆162Updated last year
- Quick and Easy Time Series Outlier Detection☆110Updated last year
- MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z…☆104Updated 2 years ago
- Time-Series Cross-Validation Module☆47Updated 3 years ago
- Synthetic Data Generation for mixed-type, multivariate time series.☆118Updated last week
- tsbootstrap: generate bootstrapped time series samples in Python☆82Updated 3 months ago
- implementation of Cyclic Boosting machine learning algorithms☆93Updated last year
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆61Updated last year
- Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Mode…☆118Updated 2 years ago
- A library for Time-Series exploration, analysis & modelling.☆17Updated 4 years ago
- A python multi-variate time series prediction library working with sklearn☆99Updated 4 years ago
- Python package for performing the Alternating Conditional Expectation (ACE) regression☆72Updated 2 years ago
- ☆115Updated last year
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆281Updated this week
- scikit-learn-inspired time series☆200Updated last year
- Phi_K correlation analyzer library☆166Updated last week
- Fast window operations☆45Updated last year