Synthetic data curation for post-training and structured data extraction
Curate and fine-tune synthetic data for machine learning models easily.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeSynthetic data curation for post-training and structured data extraction
curator has 1.7k stars on GitHub. It has been forked 146 times. curator is written mainly in Python. It has been in active development since 2024. curator is available under the Apache-2.0 license. Its main topics are agents, deep-learning, fine-tuning, instruction-tuning.
Synthetic data curation for post-training and structured data extraction
curator is an open-source project. It is released under the Apache-2.0 license.
Yes. curator is free and open source — you can use, modify and self-host it.
curator is available under the Apache-2.0 license.
curator is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/bespokelabsai-curator.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.