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Achievement: Pull Sharkx2Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

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Achievement: Pull Sharkx2Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor
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@ECMWFCode4Earth
ECMWF Code for Earth ECMWFCode4Earth
ECMWF Code for Earth is a collaborative programme where each summer several developer teams work on innovative earth sciences-related software.

Online

@amstokely
Andy Stokely amstokely
Scientific software engineer at the NSF National Center for Atmospheric Research (NSF NCAR).

NSF National Center For Atmospheric Research Boulder, Colorado

@favba
Felipe A. V. de Bragança Alves favba
Pos-doc at the Applied Mathematics department.

University of São Paulo São Paulo, SP

@adwgandu
Adilson Wagner Gandu adwgandu
Sempre a procura de novos conhecimentos....

aluno na POLI-USP - Engenharia Ambiental Brasil

@saulorfreitas
Saulo R. de Freitas saulorfreitas

National Institute for Space Research São José dos Campos, Brazil

@openai
OpenAI openai
@CliMA
Climate Modeling Alliance CliMA
An alliance of scientists, engineers and applied mathematicians, dedicated to pioneering a new, data-informed approach to climate modeling
@sabrinabms
sabrinabms
@juliana-anochi
Juliana Anochi juliana-anochi
@scsr-inpe
Scientific Computing on Space Reserch scsr-inpe
@martindurant
Martin Durant martindurant
Trained as an astrophysicist, I have worked as a data scientist, and now lead a number of open source pydata projects.

Anaconda, inc. Toronto

@TomAugspurger
Tom Augspurger TomAugspurger

@microsoft

@DIMNT-CGCT-INPE
DIMNT - CGCT - INPE DIMNT-CGCT-INPE
Divisão de Modelagem Numérica do Sistema Terrestre - DIMNT do CGCT / INPE

Brazil

@NERSC
National Energy Research Scientific Computing Center (NERSC) NERSC

Berkeley, CA

@MONAN-MODEL
MONAN - Model for Ocean-laNd-Atmosphere predictioN MONAN-MODEL
MONAN is a community model of the Unified Earth System

Brazil

@openhackathons-org
OpenHackathons.org openhackathons-org
@LineageOS
LineageOS LineageOS
A free and open-source operating system for various devices, based on the Android mobile platform. This is a mirror of https://review.lineageos.org/
@MPAS-Dev
MPAS-Dev
@JorgeLGomes
JORGE LUIS GOMES JorgeLGomes
@jsignell
Julia Signell jsignell

@Element84 Philadelphia

@ahuang11
Andrew ahuang11
@philippjfr
Philipp Rudiger philippjfr
Staff Software Engineer @ Anaconda Inc., creator of Panel, hvPlot, HoloViews and GeoViews and maintainer of Bokeh and Datashader.

Anaconda Inc. Berlin, Germany

@iuryt
Iury Simoes-Sousa iuryt

Woods Hole Oceanographic Institution Falmouth, MA, USA

@ecmwf-projects
ECMWF projects ecmwf-projects
Projects of ECMWF for working with weather and climate data

United Kingdom

@NCAR
NSF National Center for Atmospheric Research NCAR
NSF NCAR is sponsored by the U.S. National Science Foundation and managed by the University Corporation for Atmospheric Research.

Boulder, CO

@cylc
The Cylc Workflow Engine cylc
A workflow engine for cycling systems.

Wellington, New Zealand

@monanadmin
Administração do Modelo MONAN monanadmin

Cachoeira Paulista/SP - Brasil

@slerch
slerch
@dortania
dortania dortania
dortania - hackintosh guides
@JesperDramsch
Jesper Dramsch JesperDramsch
Scientist for Machine Learning. 🦾 No step on snek. 🐍 You miss 99% of the benchmarks you don't overfit on.

@ECMWF Bonn

@community
GitHub Community community
Ask questions, get answers, share expertise.
@MarcSkovMadsen
Marc Skov Madsen MarcSkovMadsen
Data, Models and Analytics Ninja. PhD, CFA®, Head of Trading Applications & Insights at Ørsted. Developer of awesome-panel.org. Contributor to HoloViz

Data, models and analytics Børkop, Denmark

@vda-lab
Visual Data Analysis lab vda-lab
Visual Data Analysis Lab
@aa-vinicius
aa-vinicius
@HelenaCachanhuk
Helena Cachanhuk HelenaCachanhuk
@NIH-HPC
High-Performance Computing at the NIH NIH-HPC
Repositories for tools developed by the NIH HPC staff. These tools are made available here as a courtesy, without any guarantee of support

Bethesda, MD, USA

@sapucci
sapucci
@nlaureanti
Nicole C. Laureanti nlaureanti
@MethodsOfMachineLearning
Methods of Machine Learning Group Tübingen MethodsOfMachineLearning
Software by the Methods of Machine Learning Group at the University of Tübingen (formerly the Probabilistic Numerics Group at the MPI for Intelligent Systems)

Tübingen, Germany

@dtkleist
Daryl Kleist dtkleist

NOAA

@takemasa-miyoshi
takemasa-miyoshi
@carlosrenatosouza2
Carlos Renato carlosrenatosouza2
@LivianyPViana
LivianyPViana
@edervendrasco
edervendrasco
@JAAravequia
JAAravequia
@sergioh-pessoal
Sergkl - Sergio Ferreira sergioh-pessoal

INPE/CPTEC - Instituto Nacional de Pesquisas Espaciais/ Centro de previsão do Tempo e Estudos Climáticos Sao Jose dos Campos

@DL-WG
DataLearning DL-WG
DL-WG is developed by the Data Learning group, an interdisciplinary group developing pioneering research on fundamental Data Science and Machine Learning

Imperial College London

@guimarabruno
guimarabruno
@singularityhub
Container Tools singularityhub
open source container hosting registry, tools, and clients
@GCC-DIMNT-CPTEC
Grupo de Computação Científica (GCC) GCC-DIMNT-CPTEC
Grupo de Computação Científica da CGCT/INPE

Brazil