Show HN: Machine learning automation from creating to using models in production • Hacker News Board

Re: Show HN: Machine learning automation from creating to using models in production

#11

Post by mkl » Fri, Jun 25, 2021, 9:56 PM UTC

nidhaloff wrote: post #2

Hi all, Igel is a delightful tool to help you create, validate and use machine learning model (also in production) without writing code. You can use the integrated command line or the graphical interface. Igel uses FastAPI and uvicorn to serve your trained model, due to their high performance.

Hi, this looks interesting to me, but am I correct that it doesn't support image data?

I spotted a typo in the README: "63 different machine learning model in igel" should say "models".

The feature "Supports all state of the art machine learning models" seems absurd. How could it possibly be true? Surely there are many SOTA models not in SKLearn?

Re: Show HN: Machine learning automation from creating to using models in production

#12

Post by JPKab » Sat, Jun 26, 2021, 3:39 AM UTC

I worked on a team for 2 years that built a gui tool on top of sklearn.

It's a heavily involved space and feel free to DM me at some point if you want any tips and also I can point you to a few libraries that are being developed by my former team and are open source.

Re: Show HN: Machine learning automation from creating to using models in production

#13

Post by nidhaloff » Sat, Jun 26, 2021, 9:32 AM UTC

JPKab wrote: post #12

I worked on a team for 2 years that built a gui tool on top of sklearn. It's a heavily involved space and feel free to DM me at some point if you want any tips and also I can point you to a few libraries that are being developed by my former team and are open source.

Hi, thanks sure it would be great to exchange information about other libraries. Mainly I'm looking for third party libs that I can integrate with igel for benchmarking or automate deployment. How can I contact you?