Skip to content
View hailun-xie's full-sized avatar

Block or report hailun-xie

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
@mlabonne
Maxime Labonne mlabonne
Head of Post-Training @ Liquid AI

Liquid AI London, United Kingdom

@WCRP-CORDEX
CORDEX WCRP-CORDEX
Coordinated Regional Climate Downscaling Experiment
@lucidrains
Phil Wang lucidrains
Working with Attention. It's all we need

San Francisco

@lukezaruba
Luke Zaruba lukezaruba
Spatial Data Science, Data Engineering, & Geospatial Development

Saint Paul, Minnesota

@karpathy
Andrej karpathy
I like to train Deep Neural Nets on large datasets.

Stanford

@openclimatefix
Open Climate Fix openclimatefix
Using open science to mitigate climate change

London

@EIAgov
U.S. Energy Information Administration EIAgov
The U.S. Energy Information Administration collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking.

U.S. Energy Information Administration Washington, DC

@sischei
Simon Scheidegger sischei

University of Lausanne

@sjsrey
Sergio Rey sjsrey

Center for Open Geographical Science San Diego, CA

@ProjectPythia
Project Pythia ProjectPythia
Community learning resource for Python-based computing in the geosciences

United States of America

@PSALOxford
Power Systems Architecture Lab PSALOxford
Github site for the Power Systems Architecture Lab (PSAL). Our group is based in the Department of Engineering Science at the University of Oxford.

United Kingdom

@SeitaBV
Seita BV SeitaBV
Open Energy Flexibility Software (see also FlexMeasures/flexmeasures project)

Amsterdam, The Netherlands

@neuromatch
Neuromatch neuromatch
Online community of computational neuroscientists, mission to foster inclusive global interactions for learning, mentorship, networking, and profession dev
@os-climate
OS-Climate os-climate
Open Source Solutions to Enable Climate-Smart Investing
@CLIMADA-project
Weather and Climate Risks Group CLIMADA-project
Research group at ETH Zurich

Zurich, Switzerland

@OasisLMF
Oasis Loss Modelling Framework OasisLMF
An open source catastrophe modelling platform, free to use by anyone.

London

@dafnifacility
DAFNI Facility dafnifacility
Data & Analytics Facility for National Infrastructure

Rutherford Appleton Laboratory, UK

@ziatdinovmax
Maxim Ziatdinov ziatdinovmax
Machine Learning-Powered Experimental Sciences | ❤️ Open Source.

Washington, United States

@ClimateImpactLab
Climate Impact Lab ClimateImpactLab
A team of scientists, economists and engineers measuring the real-world costs of climate change.
@MetOffice
Met Office MetOffice
The Met Office is the UK's National Weather Service

Exeter, UK

@alan-turing-institute
The Alan Turing Institute alan-turing-institute
The UK's national institute for data science and artificial intelligence.
@CenterForTheBuiltEnvironment
Center for the Built Environment CenterForTheBuiltEnvironment
GitHub account of the Center for the Built Environment (CBE) at UC Berkeley.

Berkeley, CA

@pypsa-meets-earth
PyPSA meets Earth pypsa-meets-earth
An open source energy system model initiative for our Earth
@HSG-AIML
Artificial Intelligence & Machine Learning (AIML Lab) @ HSG HSG-AIML
Deep Learning Research by AIML Lab @ HSG

St.Gallen

@fneum
Fabian Neumann fneum
Scientist in energy systems research at TU Berlin (@tub-ensys), Co-maintainer of @PyPSA.

Technische Universität Berlin Berlin

@probabilistic-numerics
Probabilistic Numerics probabilistic-numerics
Probabilistic numerics interprets numerical methods as inference procedures by taking a probabilistic viewpoint.
@OpenEnergyPlatform
Open Energy Family OpenEnergyPlatform
The Open Energy Family and Open Energy Platform

Magdeburg, Germany

@vismethack
ECMWF Hackathon 2022: Visualising Meteorological Data vismethack
Explore how meteorological data, weather and climate, can be visualised to be more useable, understandable and impactful for users and the broader public.

United Kingdom

@RHammond2
Rob Hammond RHammond2

National Renewable Energy Laboratory Tacoma, WA

@lawrennd
Neil Lawrence lawrennd
http://inverseprobability.com/biog

University of Cambridge Cambridge, UK

@PetarV-
Petar Veličković PetarV-
Senior Staff Research Scientist / Affiliated Lecturer

Google DeepMind / University of Cambridge London, UK