Using AI, I built an app to visualize co-author connections as a responsive graph, using the OpenAlex database.
I think, given how easy it was to code it, the result is pretty useful. Much better than going linearly.
Website: authornetwork.netlify.app
Github: github.com/abdullahumut...
27.10.2025 20:42 — 👍 2 🔁 0 💬 0 📌 0
You had a spring pendulum example in the original code, and with the improved version, I was able to run it and animate it. I thought that maybe you would enjoy seeing it come to fruition:
04.09.2025 19:47 — 👍 1 🔁 0 💬 0 📌 0
By the way, I have currently revisited this LNN project and I have probably rewritten almost all the components of the code, there are lots of new stuff and it is not a notebook anymore :D I have not published the newest version yet, but will do soon.
04.09.2025 19:47 — 👍 0 🔁 0 💬 1 📌 0
And I decided to implement my own, on top of that code. It was much more user-friendly than the original code, which had incompatible, deprecated libraries during those times. I've changed it quite a bit during that course, but it was still derived from yours. There is no license in your repo,++
04.09.2025 19:47 — 👍 0 🔁 0 💬 1 📌 0
GitHub - magnusross/pytorch-lagrangian-nn: Implementation of Lagrangian Neural Networks in PyTorch
Implementation of Lagrangian Neural Networks in PyTorch - GitHub - magnusross/pytorch-lagrangian-nn: Implementation of Lagrangian Neural Networks in PyTorch
Hey!
I tried to DM you but it was not available, so I wanted to use here.
Last year's spring, I had a project course about Lagrangian Neural Networks. There, I tried to run the original code but it had not worked. Then I searched for alternatives, and found your code. github.com/magnusross/p...
04.09.2025 19:47 — 👍 1 🔁 0 💬 1 📌 0
Cluster of Excellence "Machine Learning: New Perspectives for Science" at University of Tübingen, Germany. Blog: https://www.machinelearningforscience.de/
Researcher in High-Energy Physics and Machine Learning
High Energy Physics/Machine Learning/Data Science Prof @tum.de www.lukasheinrich.com
Professor for "Machine Learning in Science", University of Tübingen.
Artificial Intellgence as a source of inspiration in Science.
https://mariokrenn.wordpress.com/
Bridgy Fed (https://fed.brid.gy/) bot user for the fediverse. To bridge your Bluesky account to the fediverse, follow this account.
To ask a fediverse user to bridge their account, send their address (eg @user@instance) to this account in a chat message.…
The App for Connecting Open Social Web
Mastodon, Bluesky, Nostr, Threads in ONE app, in ONE feed ✨
https://openvibe.social
Boğaziçi Üniversitesi, fizik bölümü
Bilingual tweets
Postdoc at UCL AI Center. Currently work on: forecasting, uncertainty quantification, antimicrobial resistance. Previously: Gaussian processes, physics informed ML, trading power.
https://magnusross.github.io
AI + Astro/Physics. Assistant Prof at Cambridge.
astroautomata.com/