Alternatives and similar repositories for scikit-explain

Users that are interested in scikit-explain are comparing it to the libraries listed below

• alan-turing-institute / deepsensor
  A Python package for tackling diverse environmental prediction tasks with NPs.
  ☆121Updated last month
• xarray-contrib / xskillscore
  Metrics for verifying forecasts
  ☆236Updated 3 weeks ago
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆56Updated last year
• Earth-Intelligence-Lab / LocalizedWeather
  This repository contains the code and data for the paper "Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data".
  ☆54Updated 4 months ago
• nci / scores
  scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
  ☆200Updated this week
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆36Updated last year
• georgebv / pyextremes
  Extreme Value Analysis (EVA) in Python
  ☆265Updated 2 months ago
• semvijverberg / RGCPD
  Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.
  ☆33Updated 3 years ago
• google-research / weatherbenchX
  A modular framework for evaluating weather forecasts
  ☆180Updated this week
• slerch / ppnn
  post-processing experiments with neural networks
  ☆63Updated 4 years ago
• AI4S2S / s2spy
  A high-level python package integrating expert knowledge and artificial intelligence to boost (sub) seasonal forecasting
  ☆22Updated last year
• AtrCheema / AI4Water
  framework for developing machine (and deep) learning models for structured data
  ☆76Updated 3 months ago
• IPL-UV / AIDE
  ☆20Updated 7 months ago
• pyronear / pyro-risks
  Data science for wildfire risk forecasting and monitoring
  ☆27Updated last year
• eabarnes1010 / ml_tutorial_csu
  material for the CSU-led machine learning tutorial for earth science research
  ☆91Updated 3 years ago
• kjhall01 / xcast
  A High-Performance Data Science Toolkit for the Earth Sciences
  ☆70Updated last year
• pankajkarman / bias_correction
  python library for bias correction
  ☆32Updated 3 years ago
• duncanwp / ClimateBench
  ☆110Updated last year
• brightbandtech / ExtremeWeatherBench
  Benchmarking of machine learning and numerical weather prediction (MLWP & NWP) models, with a focus on extreme events.
  ☆97Updated this week
• pangeo-data / mldata
  ML Datasets Catalog
  ☆60Updated 2 years ago
• nicrie / xmca
  Maximum Covariance Analysis in Python
  ☆57Updated 2 years ago
• iroreilly / ams-2020-ml-python-course
  Materials for the Machine Learning in Python for Environmental Science Problems AMS 2020 Short Course
  ☆29Updated 6 years ago
• openghg / openghg
  A platform for greenhouse gas (GHG) data analysis and collaboration.
  ☆44Updated this week
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆32Updated last month
• xarray-contrib / xbatcher
  Batch generation from xarray datasets
  ☆194Updated 2 weeks ago
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆24Updated 10 months ago
• openclimatefix-archives / satflow
  Satellite Optical Flow with machine learning models
  ☆63Updated 2 years ago
• rebase-energy / awesome-weather-models
  🌦️ A catalogue and categorization of AI-based weather forecasting models.
  ☆138Updated 8 months ago
• modons / DL-weather-dynamics
  ☆23Updated this week
• jasperroebroek / sklearn-quantile
  ☆23Updated 11 months ago