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Review on MLflow by Daniel Evans

Revainrating 4 out of 5

A fantastic option if tensorFlow or PyTorch aren

I like that it is free and open source, so it is easy to contribute to. It is easy to use for non-technical users and it has a lot of great plugins. The UI could be a little more polished, but it isn't a deal breaker. The MLflow data science team is doing a great job of supporting the community and it is really easy to get started with. It is easy to use for non-technical users, and it has a lot of great plugins. I am able to quickly build and experiment with models in the cloud. I am able to share my models with other users. The ease of use and the fact that you can easily customize the workflow for your needs. The support for multiple languages is also a plus. I have not found anything I dislike at this point. I would like to be able to use the same workflow for multiple languages. I am using it to train a model for a project I am working on. It is very easy to use and the results are very useful.

img 1 attached to MLflow review by Daniel Evans

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Pros
  • I like how simple it is to create a model and train it
Cons
  • The UI could be a little more polished

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