kikocorreoso / scikit-extremes
scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
☆43Updated 2 years ago
Alternatives and similar repositories for scikit-extremes:
Users that are interested in scikit-extremes are comparing it to the libraries listed below
- Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.☆23Updated 4 years ago
- Multiple linear regression from Statsmodels library coupled with Xarray library☆14Updated 5 years ago
- ☆10Updated 3 years ago
- A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…☆53Updated 7 years ago
- Simple examples of data pipelines from xarray to ML training☆22Updated 5 years ago
- ☆38Updated 5 years ago
- ☆10Updated 3 years ago
- Multivariate timeseries analysis using dynamic factor modelling.☆21Updated last year
- El nino forecast based on a few machine learning methods☆24Updated 8 years ago
- Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.☆11Updated 2 years ago
- Forecast Verification/Validation Tools in Python☆34Updated last year
- Phy411 Time Series Analysis - University of Victoria☆19Updated 8 years ago
- Jupyter notebooks for the pyextremes library☆12Updated 3 years ago
- ☆11Updated 5 months ago
- Bayesian Model Averaging in python - currently only support for Cox PH models☆26Updated 8 years ago
- Estimate linear moments for statistical distribution functions☆37Updated 2 years ago
- A user-friendly python package for computing and plotting machine learning explainability output.☆38Updated 6 months ago
- XRO: Extended nonlinear Recharge Oscillator model☆14Updated last week
- One stop-shop for matplotlib based visualizations☆10Updated last year
- Policy tree optimization: Heuristic policy search for control of dynamic systems. Uses genetic programming to develop binary trees relati…☆32Updated 3 years ago
- Jupyter notebooks for research and teaching☆10Updated 3 years ago
- NinoLearn is a research framework for statistical ENSO prediction.☆10Updated 4 years ago
- Experiments demonstrating coupled online learning for machine learning parameterizations☆20Updated last year
- A python package for homogeneity test of time series data.☆47Updated 2 years ago
- Robust piecewise regression☆12Updated 4 months ago
- Subseasonal forecasting models☆49Updated last month
- Python for Climate and Meteorological Data Analysis and Visualisation☆21Updated 6 years ago
- Data repository for xarray examples☆37Updated 3 weeks ago
- Material (Jupyter Notebooks) for the University of Otago Climate Data and Analytics Workshop (26 May 2022)☆13Updated 2 years ago
- ☆15Updated 10 years ago