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Seems to be marketed as 'machine learning', but upon closer look is only for machine learning on images. Anyone know of something similar for analysis of other

by elwell 6y ago

Seems to be marketed as 'machine learning', but upon closer look is only for machine learning on images. Anyone know of something similar for analysis of other kinds of data; particularly interested to analyze records (like spreadsheet data)? Love the info site design.

mdifrgechd 6y ago
Under project templates - coming soon they say it will work with tabular data. I expect, as they allude to, it will begin with simple classification tasks in order to stick with the clean user experience they've built. But I'm super eager to see what they propose in this area.
tomlue 6y ago
I'm the founder, but you can use sysrev.com to review pdfs, json, text, etc. and assign labels / do annotations. You can see https://blog.sysrev.com/simple-ner/ https://blog.sysrev.com/simple-ner/ for how to build something like a gene named entity recognizer in text. We have mechanical turk like compensation tools too, but you'll need to ping me (tom@insilica.co) for access. There are other options for this too, I think spacy.io has an annotation app.
mbeissinger 6y ago
Yep we are starting with image classification for this initial beta launch, but plan to expand to more data types and problem types in future releases! The vision is to make a tool usable by anyone to build custom machine learning
RamonGilabert 6y ago
We are working on adding more project templates in the future, and Lobe is designed upon the idea that machine learning should be made easy—no matter the problem type you are facing.
nabergh 6y ago
Clarifai does images + text (https://www.clarifai.com/ https://www.clarifai.com/).
jpf0 6y ago
Check out Monument (https://www.monument.ai https://www.monument.ai) (shameless plug) We specialize in tabular data and are building a pipeline-based approach for creating and serving models.
diskzero 6y ago
CreateML (https://developer.apple.com/machine-learning/create-ml https://developer.apple.com/machine-learning/create-ml) if you have MacOs, can handle tabular data.

by elwell 6y ago

mdifrgechd 6y ago

Under project templates - coming soon they say it will work with tabular data. I expect, as they allude to, it will begin with simple classification tasks in order to stick with the clean user experience they've built. But I'm super eager to see what they propose in this area.

tomlue 6y ago

I'm the founder, but you can use sysrev.com to review pdfs, json, text, etc. and assign labels / do annotations. You can see https://blog.sysrev.com/simple-ner/ https://blog.sysrev.com/simple-ner/ for how to build something like a gene named entity recognizer in text. We have mechanical turk like compensation tools too, but you'll need to ping me (tom@insilica.co) for access. There are other options for this too, I think spacy.io has an annotation app.

mbeissinger 6y ago

Yep we are starting with image classification for this initial beta launch, but plan to expand to more data types and problem types in future releases! The vision is to make a tool usable by anyone to build custom machine learning

RamonGilabert 6y ago

We are working on adding more project templates in the future, and Lobe is designed upon the idea that machine learning should be made easy—no matter the problem type you are facing.

nabergh 6y ago

Clarifai does images + text (https://www.clarifai.com/ https://www.clarifai.com/).

jpf0 6y ago

Check out Monument (https://www.monument.ai https://www.monument.ai) (shameless plug) We specialize in tabular data and are building a pipeline-based approach for creating and serving models.

diskzero 6y ago

CreateML (https://developer.apple.com/machine-learning/create-ml https://developer.apple.com/machine-learning/create-ml) if you have MacOs, can handle tabular data.