marimo brings your data to life!
Select points in a plot and get them back in Python, instantly, with reactive charts.
In this data app, a reactive chart lets the user interactively explore the original images backing a 2D embedding of MNIST.
Day 3 of our "What can you do with a GPU on molab?" series: how long does it take to solve the Traveling Salesman Problem with 2-opt on a GPU? Hint: it's faster than you can say "500 cities in half a millisecond."
Video below ⬇️
The @nvidia Cosmos 3 spins synthetic manipulation episodes from a few prompts.
@CoreWeave fans them across 8 GPUs, fine-tunes the policy, serves it, and feeds the best results back in. W&B tracks every run w/ @marimo_io notebooks built in.
Repo below!
https://t.co/iP3lV9qUfD
It's our first time hosting an event at #NYTechWeek.
📍Tomorrow, 1 PM EST.
Join @themylesfiles and @trevmanz as we chat through what we've been building lately, all with a side of ice cream.
Our event is at capacity, but our waitlist is open. RSVP in the comments ⬇️
Day 2 of our "What can you do with a GPU on molab?" series: python widgets 🤝 stable diffusion. Draw, hit play, and the model reimagines it in real time, no matter how many prompt changes, region erasures, or random scatterings of pixels you throw at it.
Video below ⬇️
There was an issue yesterday that prevented some users from accessing GPUs (sorry!). The issue has now been fixed. Attach a GPU from the resource configuration button in the app header.
We collaborated with our friends at Marimo to bring @UnslothAI Studio to Molabs with online GPUs!
Powered by 96GB NVIDIA RTX 6000 PROs via Coreweave's Cloud, large finetuning & inference runs can be run in 12 hour sessions! Notebooks at https://t.co/nRWADuDUxx
Sharing is also improved across the board: mirror notebooks from GitHub, share as slides or apps, embed in webpages, and fork from our gallery.
Notebooks on molab are public but not discoverable by default, like GitHub Gists.