Gradio is super cool! 🎨 Build and share ML apps instantly with minimal code. Powerful, intuitive, and live in seconds!
🔥 #Gradio #ML
30.11.2024 22:00 — 👍 4 🔁 0 💬 0 📌 0
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
We develop AI methods for science, particularly deep learning methods based on data geometry, topology and dynamics systems.
Senior Research Scientist @MBZUAI. Focused on decision making under uncertainty, guided by practical problems in healthcare, reasoning, and biology.
Dad · Geometry ∩ Topology ∩ Machine Learning
Professor at University of Fribourg
While geometry & topology may not save the world, they may well save something that is homotopy-equivalent to it.
🏠 https://bastian.rieck.me/
🏫 https://aidos.group
Machine Learner by day, 🦮 Statistician at ❤️
In search of statistical intuition for modern ML & simple explanations for complex things👀
Interested in the mysteries of modern ML, causality & all of stats. Opinions my own.
https://aliciacurth.github.io
Research scientist, Inria. Statistical machine learning.
(He/they) Research scientist. Geometric deep learning, AI for science. 🏳️🌈🏳️⚧️
London
Post-doc @ VU Amsterdam, prev University of Edinburgh.
Neurosymbolic Machine Learning, Generative Models, commonsense reasoning
https://www.emilevankrieken.com/
Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬
https://pierrealquier.github.io/
Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺
Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
Computational Biophysicist, Amateur Photographer, History+Language Nerd.
All views my own.
Website: https://martinvoegele.github.io/
Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell
https://avt.im/ · https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate
⛵️ Research Resident @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him
👉 https://april-tools.github.io
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
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
•PhD student @ https://www.ucl.ac.uk/gatsby 🧠💻
•Masters Theoretical Physics UoM|UCLA🪐
•Intern @zuckermanbrain.bsky.social|
@SapienzaRoma | @CERN | @EPFL
https://linktr.ee/Clementine_Domine
Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila.
A.M. Turing Award Recipient and most-cited AI researcher.
https://lawzero.org/en
https://yoshuabengio.org/profile/
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️