Hi everyone,
I’ve been working on a project called AIMLSE and was hoping to get some feedback from people here who regularly build or experiment with PyTorch models.
One idea behind it is something called an Adaptive Coding Interface (ACI). The concept is that you write a short description of the ML project you want to build, and the system recommends publicly contributed helper functions that might help structure the project (for example things related to training loops, dataset handling, or evaluation).
The goal is to make it easier to go from idea → working prototype, especially for people experimenting with different models.
I’m currently looking for a few people who would be interested in trying the platform and giving feedback, mainly on things like:
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whether the helper function recommendations are actually useful
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whether the workflow feels natural when building a project
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what parts feel confusing or unnecessary
It’s currently focused on PyTorch-based projects, but the long-term idea is to support more workflows.
If anyone here enjoys trying new ML tools or experimenting with development workflows, I’d really appreciate your thoughts.
You can take a look here: https://aimlse.org
Thanks, and I’d love to hear what people think.