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...

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...

github.com

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/

CODEML Workshop @ ICML 2025

Championing Open-source Development in Machine Learning

codeml-workshop.github.io

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.

Frank Schneider@fsschneider.bsky.social · last yr.

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/

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 🤓

AlgoPerf@algoperf.bsky.social · last yr.

Hi there! This account will post about the AlgoPerf benchmark and leaderboard updates for faster neural network training via better training algorithms. But let's start with what AlgoPerf is, what we have done so far, and how you can train neural nets ~30% faster.

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...

Writing a good scientific paper

perceiving-systems.blog