32 awesome Machine Learning projects on Mastodon.
Towards Data Science
@[email protected]Your home for data science & AI. The world’s leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals. Subscribe to our newsletter here: https://towardsdatascience.com/newsletter
Florian Marquardt
@[email protected]Theoretical Physicist at @MPI_ScienceOfLight. This is the account of my research group. Topics include #machinelearning for (#quantum) #physics, #neuromorphic computing, artificial scientific discovery, topology, quantum computing, optomechanics, ... ELLIS fellow @ELLISforEurope
JMLR
@[email protected]One tweet per paper published at the Journal of Machine Learning Research (JMLR). http://jmlr.org
Maintained by @fabian
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@[email protected]FEAR no more the heat o' the sun,
Nor the furious winter's rages;
Thou thy worldly task hast done,
Home art gone, and ta'en thy wages:
Golden lads and girls all must,
As chimney-sweepers, come to dust. -Fidele,Shakespeare-
Finnish Center for AI
@[email protected]FCAI (Suomen tekoälykeskus): #RealAI for Real People in the Real World. Research from Aalto University, University of Helsinki, VTT & industry+society partners.
#machinelearning #artificialintelligence #research #AI
Khronos Group
@[email protected]An open industry consortium of leading hardware & software companies creating advanced acceleration standards for 3D graphics, AR/VR, vision & machine learning.
Applied Machine Learning Days
@[email protected]AMLD - Applied Machine Learning Days
Applied Machine Learning Days organizes events on machine learning and artificial intelligence with top speakers from around the world.
Save the date: AMLD EFPL 2025 February 11-14, 2025
InfoWorld
@[email protected][Unofficial]
Bot to echo the RSS feed from InfoWorld.
We're your destination for #softwaredevelopment, #machinelearning, and #cloud news. Follow along for expert analysis of these #enterprise technologies.
Kedro
@[email protected]An opinionated Python framework for creating reproducible, maintainable and modular machine-learning code.
On Bluesky at https://bsky.app/profile/kedro.org
ML Research Bot
@[email protected]I am a bot that posts recent research from https://machinelearning.apple.com.
Not associated with Apple.
nc233
@[email protected]Data science, sampling, machine learning, #rstats
Fakespeak
@[email protected]Project on the language of fake news in English, Norwegian and Russian | collaboration between #UiO and #SINTEFDigital in Norway | #fakenews #linguistics #machinelearning
Computo
@[email protected]A journal of the French Statistical Society promoting reproducible research in statistics and machine learning.
PyData Granada
@[email protected]Somos una comunidad donde compartir buenas prácticas, nuevos enfoques y tecnologías para la gestión, el procesamiento, el análisis y la visualización de datos. Las comunidades de PyData abordan la ciencia de datos utilizando muchos lenguajes, incluyendo (pero no limitado a) Python, Julia y R. ¡Únete a nuestras reuniones!
PyData Pittsburgh
@[email protected]Growing the #Python, #DataScience, and #MachineLearning community in #Pittsburgh.
Be sure to join the free #PyData #Pittsburgh Substack to keep up with announcements and event updates!
pierodactylus
@[email protected]A flying dinosaur, isn't it cool?
Culture Lab
@[email protected]Centro de Formación de Nuevas Tecnologías ubicado en Madrid. Expertos en Python, Machine Learning, IA, DevOps, y mucho más ;)
Computomics
@[email protected]Bioinformatics company based in Tübingen, Germany. We offer an advanced #machinelearning-based technology for #predictivebreeding 🌱
EvoLand
@[email protected]#HorizonEurope R&D project developing new services for #Copernicus #Land Monitoring Services through innovative approaches.
#EUspace #OpenSource #Sentinel1 #Sentinel2 #EarthObservation #RemoteSensing #InSitu #Satellite #CLMS #MachineLearning #NovelData #Science
vossgroup
@[email protected]Computational surface chemistry research group
at SLAC National Lab; heterogeneous catalysis, renewable energy, machine learning; http://github.com/vossgroup/ http://stanford.io/3r1I9Mq