jrmylee

jrmylee OP t1_j3dnlv6 wrote

>This seems to be a very ambitious project, as there are several ML projects that have very obscure dependencies that dont't work out of the box. This is especially true for older repos. I would personally be very interested at a reasonable price level (compatible to vast ai or runpod) to check out some repos without hassling with setup.

Yeah that makes sense, appreciate the feedback! We're hoping it works out as well haha

You mentioned users between expert and non-technical folks, and we think that this is intended audience for our app. Most of this is due to the fact that we're building this for ourselves(as recent ML grad students), and it made sense to us to solve a problem we're familiar with.

I also DM'd you a link to the app, if you have time to check it out would appreciate your feedback.

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jrmylee OP t1_j39rh76 wrote

Got it that makes a lot of sense. We'll definitely be focusing on POC projects. For me, I mainly wanted a better, faster version of Google Colab. It's difficult to compete with their offering due to their free tier, but we think solving the problems of Colab is still worthwhile.

I'm wondering, would you or anyone you know be willing to give this a spin? It would really help us to know if

a. product works on a variety of repos

b. UI is fully-functionally and easy to use

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jrmylee OP t1_j39ara0 wrote

  1. Great point, we have this covered. We intelligently install apt dependencies alongside pip dependencies. CUDA drivers are also all installed properly.
  2. This makes sense. If I understand you correctly, is the difficult part: uploading/managing dataset to server easily + writing data loaders to feed into the model?
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