👩🔬 The Institut Pasteur is a leading global biomedical research institute.
🔬 Explore with us the frontiers of biomedical research
🧪 Follow us to uncover groundbreaking discoveries
🌍 Join a community passionate about progress and open science
datamancer, generative models, bayesian inference, dynamical systems, open-source software, phd with @glouppe.bsky.social
EurIPS is a community-organized, NeurIPS-endorsed conference in Copenhagen where you can present papers accepted at @neuripsconf.bsky.social
eurips.cc
La #FondationTaraOcéan est la première fondation reconnue d’utilité publique consacrée à l’Océan en France. #ExplorerEtPartager
Human-centric #geospatial #DataScience 🚶🚲 Sustainable #mobility #networks, in #Copenhagen
Created: https://datasci.social, https://growbike.net […]
🌉 bridged from ⁂ https://datasci.social/@mszll, follow @ap.brid.gy to interact
Trending papers in Vision and Graphics on www.scholar-inbox.com.
Scholar Inbox is a personal paper recommender which keeps you up-to-date with the most relevant progress in your field. Follow us and never miss a beat again!
I do SciML + open source!
🧪 ML+proteins @ http://Cradle.bio
📚 Neural ODEs: http://arxiv.org/abs/2202.02435
🤖 JAX ecosystem: http://github.com/patrick-kidger
🧑💻 Prev. Google, Oxford
📍 Zürich, Switzerland
Machine Learning engineer @planet. Mentor with Frontier Development Lab. Previously at Dropbox & Google. Started coworking. Interests: Machine Learning, space, Earth Observation, VR.
http://codinginparadise.org
Twitter: @bradneuberg
ML Professor at École Polytechnique. Python open source developer. Co-creator/maintainer of POT, SKADA. https://remi.flamary.com/
Principal research scientist at Google DeepMind. Synthesized views are my own.
📍SF Bay Area 🔗 http://jonbarron.info
This feed is a mostly-incomplete mirror of https://x.com/jon_barron, I recommend you just follow me there.
Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
senior research scientist at Google | author of DreamBooth
https://natanielruiz.github.io/
Musician, math lover, cook, dancer, 🏳️🌈, and an ass prof of Computer Science at New York University
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
Compte officiel de l’Insee. #Statistiques et études sur l'#économie et la #société françaises.
https://www.insee.fr/fr/accueil
Robustness, Data & Annotations, Evaluation & Interpretability in LLMs
http://mimansajaiswal.github.io/
PhD student at FAIR at Meta and Ecole des Ponts with @syhw and @Amaury_Hayat, co-supervised by @wtgowers. Machine learning for mathematics and programming.
TMLR Homepage: https://jmlr.org/tmlr/
TMLR Infinite Conference: https://tmlr.infinite-conf.org/
Professor in applied mathematics at University of Orléans 🇫🇷 & IUF Junior 2022 on an innovation chair.
Interested in image processing and deep generative models.
I teach generative models for imaging at #MasterMVA.
ELLIS PhD Student in ML at the University of Tübingen.
The Applied Machine Learning Days (AMLD) is one of the largest annual machine learning and AI events in Europe, that brings together experts from industry, academia, and the public sector.
PhD student at INRIA Paris. Working on calibration of machine learning classifiers.
Candidate à la Mairie de Paris
Présidente du groupe @lesecolosparis
Élue du 19ème arrondissement
Présidente de l'Agence parisienne pour le climat
Maman 💚
Full prof at Saarland University & part of the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal |
🇮🇹🇸🇮 in 🇩🇪🇳🇱
#UAI2026 general chair
https://saramagliacane.github.io/
RL Researcher | Postdoctoral Associate @mitidss
Interested in RL theory, stochastic optimisation and online learning.
https://muchay.github.io/
Chief Exploration Officer @kyutai-labs.bsky.social in Paris.
Associate Prof @ LMU Munich
PI @ Munich Center for Machine Learning
Ellis Member
Associate Fellow @ relAI
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https://davidruegamer.github.io/ | https://www.muniq.ai/
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BNNs, UQ in DL, DL Theory (Overparam, Implicit Bias, Optim), Sparsity
Professor of Theoretical Chemistry @sorbonne-universite.fr & Director @lct-umr7616.bsky.social| Co-Founder & CSO @qubit-pharma.bsky.social | FRSC (My Views)
https://piquemalresearch.com | https://tinker-hp.org
Mathematics professor at Collège de France and fellow of Trinity College Cambridge.
Assistant Professor @JohnsHopkins.
.
Optimization and Machine Learning.
nicolasloizou.github.io
Research collaboration among 5 universities in Denmark: Aalborg University, IT University of Copenhagen, University of Aarhus, Technical University of Denmark, and the University of Copenhagen.
https://www.aicentre.dk/
Research Scientist at Google DeepMind; AI for Science and Sustainability
Prev: PhD @csail.mit.edu
skrub is a Python library to ease preprocessing and feature engineering for tabular machine learning.
Our long-term goal is to directly connect database tables to machine learning estimators.
https://skrub-data.org
https://discord.gg/ABaPnm7fDC
Python library for creating static, animated, & interactive visualizations. Chat w/ us @ https://discourse.matplotlib.org/
Sponsored by NumFocus
https://london.pydata.org
We run a monthly meetup and host the annual PyData London conference. PyData is an educational program of NumFOCUS, helping our community share ideas and learn from each other.
https://www.meetup.com/PyData-London-Meetup/
Meetup de la comunidad PyData en Madrid. ¡Únete!
Toots por @astrojuanlu
[bridged from https://masto.ai/@pydatamadrid on the fediverse by https://fed.brid.gy/ ]
https://www.meetup.com/pydata-southampton
Southampton, UK chapter of PyData
DuckDB is an analytical in-process SQL database management system. "DuckDB" and the DuckDB logo are registered trademarks of the DuckDB Foundation.
Teaching materials for the cusy training courses on a Python-based data science workflow: https://cusy.io/en/seminars
The Bayesian AI Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
Our mission: To provide tools and resources to foster a diverse, friendly, and inclusive community of data science learners and practitioners. Join us at https://dslc.io
Modern workflow orchestration for data and ML engineers.
Website: https://prefect.io
Code: https://github.com/prefecthq/prefect
Slack: https://prefect.io/slack
Put data & AI into action by creating scalable, interactive data apps for your business with Plotly. https://plotly.com/
NumPy & SciPy for GPU.
🌐 https://cupy.dev/
🛠️ https://github.com/cupy/cupy
The Galaxy Project powers global life sciences analytics by turning the world’s most advanced cyberinfrastructure into a free, browser-based analysis platform for everyone. https://galaxyproject.org/
Probabilistic Programming and Bayesian Modeling in Python
Official account for the ArviZ project. We provide #FOSS tools for exploratory analysis of #Bayesian models in #Python and #JuliaLang
www.arviz.org
A non-profit dedicated to helping communities create and share knowledge with open infrastructure for interactive computing. We work in the open, follow along with our blog here 👉 https://2i2c.org/blog
🇫🇷 Paris hub of the PyData global community!
Join our community meetup and the upcoming conference at Cité des Sciences.
September 30 - October-1 2025 • Cité des Sciences
PyData Paris
CFP deadline: April 27th 2025
Online #Python Training & Expert Community: Tutorials, Video Courses, Books, Quizzes...and More! Join 1M+ Pythonistas at http://realpython.com
SciPy 2026 Conference for Scientific and Technical Computing topics in Python. Tutorials July 13-14, Conference July 15-17, Sprints July 18-19.
https://www.meetup.com/pydata-madrid/
Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
A community led collection of recipes, build infrastructure and distributions for the conda package manager.
https://conda-forge.org
conda is a multi-platform and language-agnostic open source package management and environment management ecosystem.
⇒ https://fosstodon.org/@conda
⇒ https://conda.org/
◈ community
◈ data science & open source
◈ videos: https://youtube.com/@dataumbrella
◈ events: https://meetup.com/data-umbrella
◈ news: dataumbrella.substack.com/
Markdown with superpowers for writing scientific 👨🔬 and technical 📈papers. #OpenSource & maintained by Project #Jupyter.
The nonprofit organization behind the Python programming language. For help with Python code: http://python.org/about/help/
On Mastodon: @ThePSF@fosstodon.org
Dask natively scales Python
Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
https://dask.org
The PyData Global Conference is where users, contributors, and newcomers can share experiences to learn from one another and grow together. Want to meet the community? Join our Discord!
https://discord.gg/CjspHbE9xe
Dataframes powered by a multithreaded, vectorized query engine, written in Rust.
Stats Postdoc at Columbia, @bleilab.bsky.social
Statistical ML, Generalization, Uncertainty, Empirical Bayes
https://yulisl.github.io/
Sociologue de l'action publique @Sciences Po Saint-Germain-en-Laye @Cesdip
Politiques urbaines / gouvernance multi-niveaux / quartiers populaires / instruments de gouvernement / Un jour, une ZUP, une carte postale / romans photo / ...
Research Scientist at Flatiron Institute CCM. Prev Meta AI, NYU, Inria, Quora.
http://alberto.bietti.me
Professor in Computer Science. Love and hate AI
Optimal Transport Affinicionado
Head of Obelix group
@Irisa
Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
Research scientist at Anthropic. Prev. Google Brain/DeepMind, founding team OpenAI. Computer scientist; inventor of the VAE, Adam optimizer, and other methods. ML PhD. Website: dpkingma.com
Assistant Professor at École Polytechnique interested in Optimal Transport.
More information at: https://clbonet.github.io/
AI&Science | Resarch Fellow at @FlatironCCM | Member of @PolymathicAI | ex PhD student at @ENS_Ulm
European Centre for Medium-Range Weather Forecasts
For press enquiries or for general queries to the Service Desk, please visit http://ecmwf.int/en/about/media-centre
Scientist @ecmwf.int : climate & ocean variability, kilometre-scale modelling, and its visualisation. #art and music enthusiast. #scicomm
UC Berkeley Professor working on AI. Co-Director: National AI Institute on the Foundations of Machine Learning (IFML). http://BespokeLabs.ai cofounder
Harvard Professor.
ML and AI.
Co-director of the Kempner Institute.
https://shamulent.github.io
Dad of 3 & born-again mathematician. Statistician, economist, fellow actuary & data addict. Professor & researcher in Kyoto 京都 🇯🇵. Previously in Montréal 🇨🇦, Paris 🇫🇷, Hong Kong 🇭🇰, Leuven 🇧🇪 & Rennes 🇫🇷. Full of 'satiable curtiosity
Senior Research Scientist at NVIDIA | Computer Vision | AI for science
PhD Student @ LMU Munich
Munich Center for Machine Learning (MCML)
CNRS researcher at IRIT.
Computational Imaging, Microscopy, Optimization, Machine Learning
Website: https://www.irit.fr/~Emmanuel.Soubies/
Climate scientist at National Centre for Atmospheric Science and Prof at University of Reading. Climate variability & predictability, mainly in the North Atlantic. Dyslexic.
https://research.reading.ac.uk/meteorology/people/jon-robson/
Lecturer (Asst. Prof.) in meteorology and math. & stats | Data assimilation, climate, ML, applied dynamical systems, predictability, inverse problems, climate politics
She/her 🏳️⚧️
https://eviatarbach.com
Climate scientist. NERC Research Fellow @UniofOxford, prev Schmidt AI in Science; PostDoc @MIT, PhD @UniofOxford. #JuliaLang, open source, low carbon, free education, vegan, 🗻+🚲+🛥️. Cars ruin cities. *354ppm he|him
Machine learning, environmental modeling, sustainability, robotics
Professor @UCL
He/him
Building AI climate models at Google. I also contribute to the scientific Python ecosystem, including Xarray, NumPy and JAX.
Opinions are my own, not my employer's.
ML Scientist @CuspAI | Innovating for a greener future 🌱
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
Ph.D. student on generative models and domain adaptation for Earth observation 🛰
Previously intern @SonyCSL, @Ircam, @Inria
🌎 Personal website: https://lebellig.github.io/
Ph.D. candidate of UMich ECE, interested in machine coffee, optimization, control theory, statistical learning theory, robotics, etc. https://zengxiong111.github.io/zengxiong.github.io/
Senior AI Scientist @SAP working on tabular foundation models.
PhD @KIT and former physics graduate.
Views are my own.
maxschambach.github.io
Associate Professor at Princeton
Machine Learning Researcher
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
