geoschem-gcpy
Python toolkit for GEOS-Chem. Contains basic plotting scripts, plus the suite of GEOS-Chem benchmarking utilities.
geos-chem
GEOS-Chem "Science Codebase" repository. Contains GEOS-Chem science routines, run directory generation scripts, and interface code. This repository is used as a submodule within the GCClassic and GCHP wrappers, as well as in other modeling contexts (external ESMs).
hemco
The Harmonized Emissions Component (HEMCO), developed by the GEOS-Chem Support Team.
org.opendc:opendc-compute-api
Collaborative Datacenter Simulation and Exploration for Everybody
gcclassic
This repository contains the "superproject" wrapper for the "Classic" configuration of the GEOS-Chem model of atmospheric chemistry and composition.
https://github.com/cloudsimplus/cloudsimplus
State-of-the-art Framework 🏗 for Cloud Computing ⛅️ Simulation: a modern, full-featured, easier-to-use, highly extensible 🧩, faster 🚀 and more accurate ☕️ Java 24+ tool for cloud computing research 🎓 Examples: https://github.com/cloudsimplus/cloudsimplus-examples
https://github.com/lablup/backend.ai
Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, TPU, IPU and other NPUs.
https://github.com/agnostiqhq/covalent-awsbatch-plugin
Executor plugin interfacing Covalent with AWS Batch
https://github.com/agnostiqhq/covalent-ecs-plugin
Executor plugin interfacing Covalent with Amazon ECS Fargate
https://github.com/agnostiqhq/covalent-kubernetes-plugin
Executor plugin interfacing Covalent with Kubernetes
https://github.com/agnostiqhq/covalent-azurebatch-plugin
Executor plugin interfacing Covalent with Azure Batch
https://github.com/theforeman/foreman_fog_proxmox
Foreman plugin to add Proxmox compute resource based on fog-proxmox gem
geospatial-data-catalogs
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
ml_with_aws_sagemaker
Learn how to scale up ML/AI pipelines using AWS SageMaker (GPUs, Cloud computing)
https://github.com/broadinstitute/depmap_omics
What you need to process the Quarterly DepMap-Omics releases from Terra
https://github.com/cloudslab/fogbus
[JSS'19] A Blockchain-based Lightweight Framework for Edge and Fog Computing
https://github.com/amilworks/bisque_distortioncorrection
Distortion Correction BisQue Module
https://github.com/aryanvbw/rdptown
RDPTown: Get your own free Linux RDP or virtual computer on Google Cloud, with just a Google account!
kaapana
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
