DaniJonesOcean

DaniJonesOcean's Stars

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.3k1124211.4k

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript13k9237945k

• docker/genai-stack

  Langchain + Docker + Neo4j + Ollama

  Language:Python4.3k6595941

• NVIDIA/modulus

  Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

  Language:Python1.1k41288268

• AntonioTepsich/Convolutional-KANs

  This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

  Language:Jupyter Notebook816131881

• ecmwf/cfgrib

  A Python interface to map GRIB files to the NetCDF Common Data Model following the CF Convention using ecCodes

  Language:Python4143725977

• jupyter-guide/ten-rules-jupyter

  Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks

  Language:Jupyter Notebook25612142

• NVIDIA/earth2mip

  Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.

  Language:Python214411149

• openclimatefix/graph_weather

  PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

  Language:Python21187553

• pangeo-data/xESMF

  Universal Regridder for Geospatial Data

  Language:Python2001517135

• alan-turing-institute/deepsensor

  A Python package for tackling diverse environmental prediction tasks with NPs.

  Language:Python10077418

• pymc-devs/pymc-bart

  Language:Python100205718

• NOAA-EMC/wgrib2

  Provides functionality for interacting with, reading, writing, and manipulating GRIB2 files.

  Language:C43814314

• scifm/summer-school-2024

  Language:Jupyter Notebook37008

• monte-flora/scikit-explain

  A user-friendly python package for computing and plotting machine learning explainability output.

  Language:Jupyter Notebook351294

• maikejulie/DNN4Cli

  Code for Sonnewald and Lguensat 2021

  Language:Jupyter Notebook21408

• thunderhoser/cira_ml_short_course

  Notebooks for CIRA (Cooperative Institute for Research in the Atmosphere) machine-learning short course.

  Language:Jupyter Notebook212017

• JuliaOcean/Climatology.jl

  Climatology and the Ocean state

  Language:Julia153123

• jannefiluren/WaterFlows.jl

  Julia package for hydrological modelling

  Language:Julia146135

• ECCO-Hackweek/ecco-2024

  Language:Jupyter Notebook1042222

• gaelforget/ECCO.jl

  Language:Julia7162

• jonas-scholz123/sim2real-downscaling

  Language:Python6131

• monte-flora/explain_tutorial

  Code database on a tutorial for ML explainability methods.

  Language:Jupyter Notebook6132

• tom-andersson/EDS2023-convgnp-sensor-placement

  Codebase associated with the paper 'Environmental Sensor Placement with Convolutional Gaussian Neural Processes' in Environmental Data Science

  Language:Jupyter Notebook6200

• tom-andersson/deepsensor_gallery

  A gallery of DeepSensor research applications

  Language:Jupyter Notebook5212

• COMPASS-DOE/GreatLakes_CoupledModel_Uncertainty

  Coupled Lake-Atmosphere-Land Physics Uncertainties in a Great Lakes Regional Climate Model

  Language:Jupyter Notebook3100

• CompClimate/NEMI

  Language:Python3200

• WPringle/GreatLakes_CoupledModelUQ

  Uncertainty quantification analysis for a coupled lake-atmosphere climate model of the Great Lakes region

  Language:Jupyter Notebook2200

• DiscoGAN/Dual-Transformer

  Details code about construction of the Dual-Transformer

  Language:Python1

• lefitzpatrick/BIL_SA_workflow

  A central location to develop the workflow that will be used to run water level forecast models.

  Language:Jupyter Notebook120