🚀 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_CZQH…
#MLOps #MachineLearning #AimHub
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: aimstack.io/blog/new-release…
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-release…
🔗 Full changelog: github.com/aimhubio/aim/rele…
🖼️⏯️With simple commands you can retrieve images and audios from Aim storage.
You can also retrieve metrics, figures and texts and group them by color, stroke_style, row, column.
With Aim reports, it’s quite easy to plot the data, write the assumptions and save for a later view.
In this example, we try out other batch sizes with the hope to reduce the total loss to 1.03.
After running the snippet, you’ll get the line charts in less than 2 seconds..voilaaa ✨
Check the snippet here: aimstack.io/blog/tutorials/l…
How to use Aim reports? 👀
Navigate to Reports page (Button is located on the side bar, scroll it and you’ll see ) and click on +New.
✏️Reports work as a real-time markdown editor where you can embed queries to the data via regular python as well as use all the markdown abilities to document around.
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 why we created Reports for you! 🎉
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-release…
Code: github.com/aimhubio/aim/rele…
Yeyy, we’ve hit another incredible milestone! 🎉
The Aim repo has crossed 5000 stars on @github !!
Huge thanks to our awesome community for the support.💜
If you haven’t yet, drop Aim a star and help spread the word! 🔁🌟 github.com/aimhubio/aim
#opensource #MLops #ML #AI
🔧 Easy Setup:
1. Build a Docker image for Aim.
2. Provision a ReadWriteMany volume on your cloud provider.
3. Define your deployment with the volume mounted.
For detailed steps and code, check out the docs.
aimstack.readthedocs.io/en/l…
#mlops #kubernetes #aimstack







