monte-flora / scikit-explainLinks
A user-friendly python package for computing and plotting machine learning explainability output.
☆39Updated 11 months ago
Alternatives and similar repositories for scikit-explain
Users that are interested in scikit-explain are comparing it to the libraries listed below
Sorting:
- Subseasonal forecasting models☆55Updated 6 months ago
- A Python package for tackling diverse environmental prediction tasks with NPs.☆115Updated 2 months ago
- Metrics for verifying forecasts☆235Updated 3 weeks ago
- scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.☆181Updated last week
- This repository contains the code and data for the paper "Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data".☆41Updated this week
- Data access package for the SubseasonalClimateUSA dataset☆34Updated 9 months ago
- Extreme Value Analysis (EVA) in Python☆260Updated last month
- ☆20Updated last month
- Satellite Optical Flow with machine learning models☆62Updated last year
- 🌦️ A catalogue and categorization of AI-based weather forecasting models.☆131Updated 3 months ago
- scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python☆42Updated 3 years ago
- post-processing experiments with neural networks☆63Updated 3 years ago
- An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.☆157Updated 6 months ago
- ☆91Updated last year
- ML Datasets Catalog☆58Updated 2 years ago
- framework for developing machine (and deep) learning models for structured data☆70Updated 4 months ago
- ☆61Updated 7 months ago
- material for the CSU-led machine learning tutorial for earth science research☆90Updated 3 years ago
- Notebook examples using model data for the Open Government Data initiative☆52Updated last month
- Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.☆33Updated 2 years ago
- python library for bias correction☆33Updated 2 years ago
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆22Updated 4 months ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆87Updated 5 months ago
- A high-level python package integrating expert knowledge and artificial intelligence to boost (sub) seasonal forecasting☆21Updated 10 months ago
- A modular framework for evaluating weather forecasts☆120Updated this week
- ☆18Updated 10 months ago
- Materials for the Machine Learning in Python for Environmental Science Problems AMS 2020 Short Course☆29Updated 5 years ago
- Repository for IBM weather downscaling model☆36Updated this week
- Physical climate risk calculation engine☆48Updated this week
- Maximum Covariance Analysis in Python☆57Updated 2 years ago