Frank Schneider

GitHub - mlcommons/algorithmic-efficiency: MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training a... MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models. - mlcommons/algori...

We just released AlgoPerf v0.6! 🎉
✅ Rolling leaderboard
✅ Lower compute costs
✅ JAX jit migration
✅ Bug fixes & flexible API
Coming soon: More contemporary baselines + an LM workload…
github.com/mlcommons/al...

CODEML Workshop @ ICML 2025 Championing Open-source Development in Machine Learning

The CodeML workshop @ICML2025 deadline has been extended to May 26!
We highlight open-source gems—new ML libraries, key contributions, best practices & OSS reflections.
Let’s give open-source the stage it deserves.
🔗 codeml-workshop.github.io/codeml2025/

This has been a topic close to my heart for a long time.

We have an awesome lineup of speakers who have made deep contributions to open-source in ML, e.g. @sarahooker.bsky.social , @chrisrackauckas.bsky.social, Matt Johnson, Tri Dao, @stellaathena.bsky.social, Evan Shelhamer.

Tired of your open-source ML work not getting the academic recognition it deserves? 🤔 Submit to the first-ever CodeML workshop at #ICML2025! It focuses on new libraries, improvements to established ones, best practices, retrospectives, and more.
codeml-workshop.github.io/codeml2025/

We're all about acceleration! 😉
Watch @priya-kasimbeg.bsky.social & @fsschneider.bsky.social speedrun an explanation of the AlgoPerf benchmark, rules, and results all within a tight 5 minutes for our #ICLR2025 paper video on "Accelerating Neural Network Training". See you in Singapore!

If you don't know yet what AlgoPerf is, I wrote a short intro thread over on our shiny new AlgoPerf account 🤓

Writing a good scientific paper

For those who missed this post on the-network-that-is-not-to-be-named, I made public my "secrets" for writing a good CVPR paper (or any scientific paper). I've compiled these tips of many years. It's long but hopefully it helps people write better papers. perceiving-systems.blog/en/post/writ...

GitHub - krrish94/sniffle-workshop: An easy-to-use jekyll theme for creating a workshop webpage (useful for AI / ML / CV / robotics folks) An easy-to-use jekyll theme for creating a workshop webpage (useful for AI / ML / CV / robotics folks) - krrish94/sniffle-workshop

I used the "Sniffle" Template:
github.com/krrish94/sni... for our AlgoPerf Workshop (algoperf-workshop.github.io) and our NeurIPS 2022 workshop and have been very happy with it.