Our great sponsors
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refinery
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
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azuredatastudio
Azure Data Studio is a data management and development tool with connectivity to popular cloud and on-premises databases. Azure Data Studio supports Windows, macOS, and Linux, with immediate capability to connect to Azure SQL and SQL Server. Browse the extension library for more database support options including MySQL, PostgreSQL, and MongoDB.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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refinery-sample-projects
Containing examples of projects you can use to test refinery. Please select the use case from the branches.
Hi Tom! Thanks, happy to hear that :)
We've focused on JSON as the user-specified data model. So you can upload anything fitting into a JSON. We're using pandas to process the uploaded data, so spreadsheets or CSV-ish also work.
We've got a public roadmap (https://github.com/code-kern-ai/refinery/projects/1), and we're looking forward to also integrate e.g. native PDF labeling sometime soon.
I think there isn't, and if there is it would be illegal:
> You may not sublicense the Software Code or any use of it
https://github.com/microsoft/azuredatastudio/blob/main/LICEN...
Hey, I'm Johannes - one of the maintainers of refinery. Thanks Jonathan for sharing!!
Would be super excited if you guys have any feedback. It's nowhere near perfect yet, but you can already use it to build some great data-centric use cases. Amongst others for sentiment analysis, conversational AI or finetuning of your embeddings (which you can check out here: https://github.com/code-kern-ai/refinery-sample-projects).
Let me know what you think :)
This project's README reminds me of git-bruh's GitHub page: https://github.com/git-bruh/git-bruh/blob/main/README.md
I'm sorry, I just can't think of anything else anymore when I hear the word "microservices". This is the most sane use of them I've seen yet, so there's that.