🚀 New to AimHub?
We built it for ML teams to track experiments and collaborate with ease.
This 3-min walkthrough shows how to:
✅ Set up your organization
✅ Invite teammates
✅ Create & manage projects
🎥 Watch now: youtube.com/watch?v=7G6_CZ…
#MLOps #MachineLearning #AimHub
Aim is a best-in-class AI metadata tracking tool.
Experiment tracking, AI Agents tracing
repo: github.com/aimhubio/aim
discord: discord.com/invite/zXq2NfV…
- Aim is now available for teams!🚀 We're excited to announce AimHub, the new platform built to help teams easily track and manage their machine learning experiments. - Self-hosted - Users, teams and roles are available - Much faster backend - 100% compatible with Aim Check out:
- Aim 3.28 is out!!⚡️Key highlights: - Performance improvements - New AimCallback for Hugging Face distributed runs - Better handling of remote tracking exceptions 🔗 Blog: aimstack.io/blog/new-relea… 🔗 Full changelog: github.com/aimhubio/aim/r…
- Iterating over analyses is an essential part of model training. #ML engineers run many experiments, tweaking models and tuning hyperparameters. This slows down the entire development process. Reports make it easier to track the progress and see how models improve. That's
- Hey all, Aim 3.25 is out! The top-requested feature —Reports—is now live! 🚀 Use Aim reports to showcase your work and iterate over the knowledge around it. And of course, do it with your collaborators. Blog: aimstack.io/blog/new-relea… Code: github.com/aimhubio/aim/r…

