ecomodeller

ecomodeller's Stars

• coder/code-server

  VS Code in the browser

  Language:TypeScript66.6k7293.5k5.5k

• typst/typst

  A new markup-based typesetting system that is powerful and easy to learn.

  Language:Rust29.9k822.2k819

• iterative/dvc

  🦉 ML Experiments and Data Management with Git

  Language:Python13.4k1394.6k1.2k

• rasbt/mlxtend

  A library of extension and helper modules for Python's data analysis and machine learning libraries.

  Language:Python4.8k116472854

• unionai-oss/pandera

  A light-weight, flexible, and expressive statistical data testing library

  Language:Python3.1k19828296

• dynamicslab/pysindy

  A package for the sparse identification of nonlinear dynamical systems from data

  Language:Python1.4k33341304

• wrf-model/WRF

  The official repository for the Weather Research and Forecasting (WRF) model

  Language:Fortran1.2k100388659

• JuliaNLSolvers/Optim.jl

  Optimization functions for Julia

  Language:Julia1.1k31525213

• Nixtla/mlforecast

  Scalable machine 🤖 learning for time series forecasting.

  Language:Python7891312374

• henrikbostrom/crepes

  Conformal classifiers, regressors and predictive systems

  Language:Python36042128

• geocompx/geocompy

  Geocomputation with Python: an open source book and online resource for getting started in this space

  Language:TeX2521113144

• storpipfugl/pykdtree

  Fast kd-tree implementation in Python

  Language:C206144448

• pypest/pyemu

  python modules for model-independent uncertainty analyses, data-worth analyses, and interfacing with PEST(++)

  Language:Reason1692721094

• zarr-developers/geozarr-spec

  This document aims to provides a geospatial extension to the Zarr specification. Zarr specifies a protocol and format used for storing Zarr arrays, while the present extension defines conventions and recommendations for storing multidimensional georeferenced grid of geospatial observations (including rasters).

  Language:HTML106223610

• JuliaDataCubes/YAXArrays.jl

  Yet Another XArray-like Julia package

  Language:Julia90922813

• shanselman/AsteroidsGame

  Asteroids Game generated by Scott and Mark Learn to Code, commited directly as written, just after BUILD 2023 keynote. Many many thanks to Yanan Cai for her help and prompt engineering.

  Language:C#792013

• predictionmachines/SDSlite

  Scientific DataSet library to work with NetCDF-like data sets from .NET.

  Language:C#60172931

• Alexander-Barth/FluidSimDemo-WebAssembly

  Language:JavaScript54415

• joeloskarsson/neural-lam

  Neural Weather Prediction for Limited Area Modeling

  Language:Python544819

• Deltares/xugrid

  Xarray and unstructured grids

  Language:Python5271838

• metno/gridpp

  Software to post-process gridded weather forecasts

  Language:C++47477716

• gher-uliege/DINCAE

  DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

  Language:Python4591018

• mauro3/Julia-intro-for-geoscience-EGU2024

  https://meetingorganizer.copernicus.org/EGU24/session/49443

  Language:Jupyter Notebook309

• DHI/mikeio1d

  Read res1d and xns11 files.

  Language:Python236346

• gher-uliege/DINCAE.jl

  DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

  Language:Julia227167

• wekeo/wekeo4oceans

  Repository of WEkEO Jupyter Notebooks for learning about EUMETSAT Copernicus satellite data for marine applications. This code is a partial mirror of the repositories on https://gitlab.eumetsat.int/eumetlab/oceans/ocean-training

  18612

• sktime/skbase

  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.

  Language:Python154879

• DHI/mikecore-python

  MIKE Core in Python

  Language:Python5590

• DHI/Intro_ML_course

  Course material for "Introduction to Machine Learning for Water Professionals"

  Language:Jupyter Notebook4003

• DHI/webinars

  Notebooks and scripts associated with DHI webinars

  Language:Jupyter Notebook21