monte-flora / scikit-explainLinks
A user-friendly python package for computing and plotting machine learning explainability output.
☆39Updated last year
Alternatives and similar repositories for scikit-explain
Users that are interested in scikit-explain are comparing it to the libraries listed below
Sorting:
- A Python package for tackling diverse environmental prediction tasks with NPs.☆117Updated last month
- scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.☆194Updated this week
- Metrics for verifying forecasts☆237Updated last month
- Subseasonal forecasting models☆54Updated 9 months ago
- Data access package for the SubseasonalClimateUSA dataset☆35Updated last year
- Extreme Value Analysis (EVA) in Python☆264Updated last week
- This repository contains the code and data for the paper "Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data".☆46Updated last month
- framework for developing machine (and deep) learning models for structured data☆72Updated last week
- ☆20Updated 4 months ago
- Satellite Optical Flow with machine learning models☆63Updated 2 years ago
- A python package for homogeneity test of time series data.☆48Updated 3 years ago
- Notebook examples using model data for the Open Government Data initiative☆68Updated this week
- 🌦️ A catalogue and categorization of AI-based weather forecasting models.☆135Updated 6 months ago
- Spatial cross-validation in Python.☆47Updated last year
- post-processing experiments with neural networks☆63Updated 3 years ago
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆24Updated 7 months ago
- Data science for wildfire risk forecasting and monitoring☆27Updated last year
- Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.☆33Updated 2 years ago
- ☆106Updated last year
- A high-level python package integrating expert knowledge and artificial intelligence to boost (sub) seasonal forecasting☆22Updated last year
- Python version of the CICERO-SCM simple climate model/emulator☆21Updated this week
- Maximum Covariance Analysis in Python☆57Updated 2 years ago
- ML Datasets Catalog☆59Updated 2 years ago
- PVnet main repo☆41Updated this week
- scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python☆42Updated 3 years ago
- python library for bias correction☆33Updated 2 years ago
- material for the CSU-led machine learning tutorial for earth science research☆90Updated 3 years ago
- 🌍 A curated list of MIT faculty that tackle climate change with machine learning for applying students, undergraduates, or others☆52Updated 2 months ago
- Package implementing Convergent Cross Mapping for causality inference in dynamical systems☆50Updated last year
- Using optical flow & machine learning to predict PV yield☆53Updated 3 years ago