Join pyOpenSci’s 2-hour online workshop Nov 6:
✔️ Build your first package fast
✔️ Learn the core files (pyproject.toml, docs, metadata)
✔️ Publish to PyPI with confidence
📅 Nov 6, 2025 | Online
🎟️ bit.ly/PythonPackaging
Join pyOpenSci’s 2-hour online workshop Nov 6:
✔️ Build your first package fast
✔️ Learn the core files (pyproject.toml, docs, metadata)
✔️ Publish to PyPI with confidence
📅 Nov 6, 2025 | Online
🎟️ bit.ly/PythonPackaging
◼️ They do not offer compelling gains over baseline models
Their performance is inconsistent and requires much more compute.
arxiv.org/abs/2412.05430
Thanks @jjimenezluna.bsky.social for the help!
🌐 colab.research.google.com/github/sokry...
📄 www.biorxiv.org/content/10.1...
greglandrum.github.io/rdkit-blog/p...
greglandrum.github.io/rdkit-blog/p...
Visit us at zarr.dev for more info!
We are looking for folks with a background in #physics and also people with more stats / analytics background.
Join our team. support the #opensource tools that drive #science
📢 Apply here: buff.ly/PKSpJ47
We are looking for folks with a background in #physics and also people with more stats / analytics background.
Join our team. support the #opensource tools that drive #science
📢 Apply here: buff.ly/PKSpJ47
github.com/polaris-hub/...
#opensource #benchmarking #ml #drugdiscovery
Don't miss this chance to see how you stack up against other participants! Submit your results today: polarishub.io/competitions
Don't miss this chance to see how you stack up against other participants! Submit your results today: polarishub.io/competitions
Goodbye citations, hello embeds.
I was just hoping for links in scientific papers, but this is even better!
Have you been waiting for an opportunity to prove how well your model performs on a blind, newly generated and consistent test set? You now have the unique opportunity to!
Super excited to launch a first competition on @polarishub.io!
Test your skills across three sub-challenges revolving around SARS-CoV-2 and MERS-CoV Mpro🧵
Full details: polarishub.io/competitions
Blog: polarishub.io/blog/antivir...
Have you been waiting for an opportunity to prove how well your model performs on a blind, newly generated and consistent test set? You now have the unique opportunity to!
Super excited to launch a first competition on @polarishub.io!
We built this to help rigorously quantify how well our models actually work - if you want to quantify how well you models extrapolates into new feature or target space, give it a look:
github.com/JacksonBurns...
We built this to help rigorously quantify how well our models actually work - if you want to quantify how well you models extrapolates into new feature or target space, give it a look:
github.com/JacksonBurns...