bradleygay's Stars
LinkedInLearning/quantum-computing-fundamentals-2833097
This repo is for the Linkedin Learning course: Quantum Computing Fundamentals
mdpiper/permamodel
Permafrost models with a Basic Model Interface
mdpiper/landlab
Landlab codebase, wiki, and tests
cmarcotte/dedalus
A flexible framework for solving PDEs with modern spectral methods.
cmarcotte/ml-stable-diffusion
Stable Diffusion with Core ML on Apple Silicon
cmarcotte/Workshop2022
Some materials for attendees to the Workshop on Dynamics of Excitable Systems (2022).
yumengch/MPI-Parallel-Multiscale-Diffusion-FEM
Elliptic Multiscale FEM with MPI (and distributed mesh)
yumengch/pyPDAF
A Python interface to parallel data assimilation framework - pyPDAF
jaydeeptindori/tai4es-trustathon-2022
Trust-A-Thon materials for the Trustworthy AI for Environmental Science Summer School
JohannesTimm/The-New-AI-Gold-Rush-Transdimensional-Machine-Learning
Mining the Riches of Data w/ Optimal Metrics in Higher Dimensional Manifolds using Hybrid-NEAT w/ UMAP & HDBSCAN.
dahaha114/Probabilistic-Machine-Learning
Repository for the course Probabilistic Machine Learning at Tübingen University
chenuanc/wrf-python
A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.
PDAF/PDAF
Parallel Data Assimilation Framework
jaydeeptindori/CFDPython
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
tgasser/OSCAR
compact Earth system model
permamodel/permamodel
Permafrost models with a Basic Model Interface
CryoGrid/CryoGridCommunity_run
These are user-adjustable files of the community version of CryoGrid, a numerical model to investigate land surface processes in permafrost environments.
CryoGrid/CryoGridCommunity_source
This is the community version of CryoGrid, a numerical model to investigate land surface processes in permafrost environments.
Elchin/GIPL
Geophysical Institute Permafrost Laboratory 2 (GIPL2) model
dsmbgu8/srcfinder
Methane SourceFinder Image Processing + Plume Detection Tools
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
darwinproject/darwin3
Fork of MITgcm with Darwin ecosystem model added
MITgcm-contrib/ecco_darwin
ECCO Darwin configurations
satish1901/Methane-detection-from-hyperspectral-imagery
Deep Learning based Remote Sensing Methods for Methane Detection in Airborne Hyperspectral Imagery
bradleygay/geocryoai
This repository consists of sequential workflows for the development of an AI model to better quantify, understand, and predict the permafrost carbon feedback. The resulting manuscripts, data products, syntheses, and analyses is a multi-year effort originating from my dissertation through my current NPP research at JPL/Caltech.
emit-sds/emit-ghg
Mapping of greenhouse gases with EMIT.
ornldaac/above-airborne-avirisng-python
Python: Work with hyperspectral imagery from AVIRIS-NG collected during ABoVE airborne campaigns
kratzert/pangeo_lstm_example
Example notebook, showing how to use LSTMs for rainfall-runoff modeling
nansencenter/DAPPER
Data Assimilation with Python: a Package for Experimental Research
DOI-USGS/snow-to-flow
What does changing snowmelt mean for flow in the western US?