iiinova — where your digital self keeps evolving

Reposted by Jackson Burns

pyOpenSci @pyopensci.org · 22/09/2025

🐍 Want to publish your own Python package? 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

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Jackson Burns @fastprop.bsky.social · 30/03/2025

This is the golden age of science informatics!

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Reposted by Jackson Burns

Greg Landrum @greglandrum.bsky.social · 29/03/2025

The new #RDKit blog post is an update of an older tutorial on displaying fingerprint bits. greglandrum.github.io/rdkit-blog/p...

greglandrum.github.io

RDKit blog - Rendering fingerprint bits

Visualizing the meaning of fingerprint bits

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Jackson Burns @fastprop.bsky.social · 24/03/2025

Just started using Zarr - literally unbelievably good.

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Reposted by Jackson Burns

pyOpenSci @pyopensci.org · 06/03/2025

Are you interested in getting involved in peer review of software? We need more editors! 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

forms.gle

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Jackson Burns @fastprop.bsky.social · 11/02/2025

Currently making a slide deck in markdown and I've never felt so powerful

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Jackson Burns @fastprop.bsky.social · 07/02/2025

Cool application of a foundation model to drug design

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Jackson Burns @fastprop.bsky.social · 04/02/2025

polaris is an amazing tool with a similarly amazing development team! Try it out today if you work in Computer Aided Drug Discovery world

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Reposted by Jackson Burns

Polaris @polarishub.io · 31/01/2025

🚨 Extension Alert: The intermediate leaderboard submission deadline for the antiviral challenge has been extended to midnight on February 7th! Don't miss this chance to see how you stack up against other participants! Submit your results today: polarishub.io/competitions

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Reposted by Jackson Burns

Dan Goodman @neural-reckoning.org · 16/01/2025

This is obviously how scientific articles should be, and if we had an open ecosystem designed for users rather than profit, we would have had this years ago. Time to dump commercial publishers and their paywalls.

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Jackson Burns @fastprop.bsky.social · 02/01/2025

I highly suggest all my followers working with Python to follow @pyopensci.org - great resources for packaging your code for improved reproducibility

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Jackson Burns @fastprop.bsky.social · 02/01/2025

Thank you to everyone who read and cited my papers last year - proud to say that I received 10 citations in 2024! Double digits for the first time🎉

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Reposted by Jackson Burns

Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 30/12/2024

It is roughly 10 lines of code to go from 1 GPU to N GPUs with pytorch DDP. Pointing this out so that everyone is aware and doesn't shy away from scaling their code

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Reposted by Jackson Burns

Philip Wheeler @philipwheeler.bsky.social · 18/12/2024

That C-C and C-N coupling are now viewed as boring (comparable to amide bond formation!!) is a testament to the work that Buchwald, Hartwig, and many others have done in the past 20 years.

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Jackson Burns @fastprop.bsky.social · 17/12/2024

An interesting read for all scientists publishing papers

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Jackson Burns @fastprop.bsky.social · 13/12/2024

LLMs aren't reasoning, and I tire of seeing articles acting like they are

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Reposted by Jackson Burns

Cas @caswognum.nl · 03/12/2024

📢 Calling all ML practitioners! 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!

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Jackson Burns @fastprop.bsky.social · 01/12/2024

I want to learn fortran - any recommendations on projects to try, toolchains to use, etc.?

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Jackson Burns @fastprop.bsky.social · 25/11/2024

My machine learning data splitting library astartes has just hit 64 stars on GitHub! ⭐ 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...

github.com

GitHub - JacksonBurns/astartes: Better Data Splits for Machine Learning

Better Data Splits for Machine Learning. Contribute to JacksonBurns/astartes development by creating an account on GitHub.

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Jackson Burns @fastprop.bsky.social · 25/11/2024

Graduate school is revising a paragraph seven times knowing full well that people will skim it just to get to the figures...

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