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:
- Subseasonal forecasting models☆56Updated 11 months ago
- scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.☆197Updated this week
- A Python package for tackling diverse environmental prediction tasks with NPs.☆119Updated last week
- Metrics for verifying forecasts☆237Updated 2 weeks ago
- Data access package for the SubseasonalClimateUSA dataset☆36Updated last year
- Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.☆33Updated 3 years ago
- A high-level python package integrating expert knowledge and artificial intelligence to boost (sub) seasonal forecasting☆22Updated last year
- This repository contains the code and data for the paper "Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data".☆53Updated 3 months ago
- python library for bias correction☆33Updated 3 years ago
- Maximum Covariance Analysis in Python☆57Updated 2 years ago
- 🌦️ A catalogue and categorization of AI-based weather forecasting models.☆137Updated 8 months ago
- Notebook examples using model data for the Open Government Data initiative☆69Updated last month
- ML Datasets Catalog☆60Updated 2 years ago
- post-processing experiments with neural networks☆63Updated 4 years ago
- Satellite Optical Flow with machine learning models☆63Updated 2 years ago
- ☆22Updated last year
- Python version of the CICERO-SCM simple climate model/emulator☆24Updated 2 weeks ago
- A High-Performance Data Science Toolkit for the Earth Sciences☆70Updated last year
- Data science for wildfire risk forecasting and monitoring☆27Updated last year
- A python package for homogeneity test of time series data.☆48Updated 3 years ago
- Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…☆13Updated 5 years ago
- A dataset plugin for climetlab for the dataset maelstrom-a1☆12Updated 2 years ago
- 🌍🌏🌎 A succinct toolset for analyzing climate data. This project is a work-in-progress.☆27Updated 3 months ago
- framework for developing machine (and deep) learning models for structured data☆73Updated 2 months ago
- PVnet main repo☆44Updated last week
- Using optical flow & machine learning to predict PV yield☆53Updated 3 years ago
- XRO: Extended nonlinear Recharge Oscillator model☆27Updated 4 months ago
- machine learning for the atmospheric sciences - a CSU course☆34Updated 2 years ago
- material for the CSU-led machine learning tutorial for earth science research☆91Updated 3 years ago
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆32Updated last month