Unbelievably real:
19.07.2025 12:27 — 👍 105 🔁 13 💬 6 📌 2
A raspberry pi 4 driving a 7.5in eink display from waveshare. The eink display shows a sinusoidal curve on an xy axis.
After half a year of hobby #hacking, got an eink interface working w #julialang! 🎉
Now: tidy code & docs @ github.com/TheCedarPrin...
Future: custom dashboard making via @makie.org for
- UV Index 🌞
- Boston Sailing Info ⛵
- todo.txt Todo List 📝
- Google Calendar 🗓️
- 🤯
#maker #raspberrypi
08.07.2025 20:13 — 👍 50 🔁 10 💬 3 📌 2
Do you feel Rust features work better to implement the interface?
26.05.2025 22:15 — 👍 1 🔁 0 💬 1 📌 0
The announcement of the "Julia for Machine Learning" course is my most shared skeet on old-BlueSky. Since then, the course material has been extended to include package development in #JuliaLang!
📖: github.com/adrhill/juli...
14.04.2025 11:44 — 👍 20 🔁 10 💬 1 📌 0
I think about this headline all of the time.
27.02.2025 21:35 — 👍 17772 🔁 3975 💬 200 📌 106
The package is now in the general registry and can be added with `] add TestPicker`.
More features coming like precompilation, text preview and nested testsets.
05.02.2025 12:22 — 👍 2 🔁 0 💬 0 📌 0
There are great existing tools like ReTest.jl but they require a new framework, this package acts more like a tool on top of the existing standard test framework.
02.02.2025 13:27 — 👍 1 🔁 0 💬 0 📌 0
All test files are run in a separate module (like in SafeTestsets.jl) and use TestEnv.jl to get the correct test environment.
For `@testset` blocks, the preamble is fetched and run before to ensure it works.
02.02.2025 13:27 — 👍 1 🔁 0 💬 1 📌 0
I made a new tool for #julialang called TestPicker.jl.
Based on fzf it allows you to quickly pick test files and testsets to run.
github.com/theogf/TestP...
02.02.2025 13:27 — 👍 14 🔁 2 💬 1 📌 1
No need for a mode, it needs some fixing but the package provides hooks to the REPL (same as Revise)
24.01.2025 08:40 — 👍 1 🔁 0 💬 0 📌 0
You should learn #JuliaLang because it’s fun
23.01.2025 21:39 — 👍 42 🔁 9 💬 3 📌 2
"Acknowledged in" ?
08.01.2025 15:24 — 👍 2 🔁 0 💬 0 📌 0
Without aiming for anything as precise as a 'best papers of the year' list, it seems a decent time to review some themes and works which I've enjoyed this year. Not all arrived exactly this year, but all have been particularly on my radar in recent times. Anyhow:
31.12.2024 15:10 — 👍 24 🔁 2 💬 1 📌 0
I saw recently that this had been cited in some lecture notes, so I decided to try to preserve it for posterity (since the original tweet had been deleted by me in the interim).
27.12.2024 21:06 — 👍 71 🔁 7 💬 1 📌 0
My book is (at last) out, just in time for Christmas!
A blog post to celebrate and present it: francisbach.com/my-book-is-o...
21.12.2024 15:23 — 👍 141 🔁 35 💬 2 📌 3
An old reading list, revisited, reformatted, and put somewhere mildly more permanent:
hackmd.io/@sp-monte-ca...
'A Reading List'
07.12.2024 22:15 — 👍 47 🔁 6 💬 3 📌 2
Parent, spouse, Australian, Professor of Machine Learning in Oxford. Long Covid, trans rights, music, reggae, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
Full Professor of Computational Statistics at TU Dortmund University
Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams
Website: https://paulbuerkner.com
Opinions are my own
My opinions only here.
👨🔬 RS DeepMind
Past:
👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y
🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM
👤 @nwspk
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
Assistant Professor / Faculty Fellow @nyudatascience.bsky.social studying cognition in mind & brain with neural nets, Bayes, and other tools (eringrant.github.io).
elsewhere: sigmoid.social/@eringrant, twitter.com/ermgrant @ermgrant
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
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
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
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
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)
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
#AI4Science #CompNeuro #NeuroAI #SBI
www.mackelab.org @mackelab.bsky.social
· Prof Uni Tuebingen ML4Science BCCN tue.ai
· Adjunct MPI IS · Fellow ellis.eu
· currently hiring postdocs and PhD students
· sometimes goes for a run
⛵️ Research Resident @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
ELLIS PhD student at the University of Edinburgh
https://lenazellinger.github.io/
Machine Learning Researcher
https://alexalemi.com
https://blog.alexalemi.com
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
