Stars and mentions
Last 30 days, Oct 5 – Nov 3
Package downloads
Top repositories
marin-community’s repositories ranked by new stars, as on trending.
Contributes to
Repositories outside marin-community’s account where marin-community opened or reviewed pull requests in the past 365 days.
Who noticed marin-community
Everyone who starred or forked marin-community’s repositories since the archive began in 2011.
Notable accounts
Ordered by the stars their own repositories have received.
Biggest fans
Accounts that starred the most of these repositories.
Breakout weeks
Each repository’s best week of new stars, with the release published around it.
- Gold
- 01st place finishes
- Silver
- 02nd place finishes
- Bronze
- 03rd place finishes
- Awarded repositories
- 0Owned by marin-community now
No trending awards yet
None of the repositories marin-community owns has finished in the top three of a completed trending day or week, by stars, forks or PR authors. See who is trending now.
A repository earns an award for finishing first, second or third in a completed trending day or week, ranked by new stars, new forks or pull request authors. Awards follow a repository through renames and transfers and count toward its current owner. Weeks run Monday to Sunday, UTC.
Mentions
I was really impressed by Marin's published evals policies: marin#9409 Precise and very clearly written.
3/3 Finding the right hinting primitives for agentic benchmarks (longer, messier rollouts) is an open question. There’s already some work happening on this front in Marin! Issue: marin#9541
Of course this is retrospective. Hindsight etc. etc. That said, it was basically "do what we did for the Paloma fit". No 535b losses need have been consulted. As always, code and context are on GitHub marin-logbooks#8
We’re Marin, the details are pretty much always available! marin#9960 This time we’re deploying Triton router top-k and short conv, leaner ragged a2a transport, fused expert backward, and XLA scheduling fixes
If you would like to learn more, everything is on GitHub (marin-community/marin), hang out with us in Discord (discord.com), where we have active discussions. We also have biweekly meetings where we deep dive into various parts of the stack, open to anyone in the Marin community.
We then noticed a big increase in our gated attention norm, which was off trend compared to our scaling ladder. Loss was going down and on track, but just to be safe, we added a touch of weight decay mid-run, which dampened the growth: marin#8818 t.co