microsoft/verseagility

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

40
/ 100
Emerging

This toolkit helps data scientists and ML engineers quickly set up and deploy custom natural language processing (NLP) solutions. You provide your specific text data, and it helps you train models for tasks like text classification or named entity recognition, outputting ready-to-use models. It's designed for those who need to rapidly bring their own text data and models into production.

No commits in the last 6 months.

Use this if you are a data scientist or ML engineer looking to accelerate the development and deployment of custom NLP models for tasks like text classification, named entity recognition, question answering, or opinion mining with your own data.

Not ideal if you are looking for a pre-trained, off-the-shelf NLP solution that requires no custom training or deployment.

natural-language-processing machine-learning-operations text-analytics model-deployment custom-ai-solutions
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

27

Forks

11

Language

Jupyter Notebook

License

MIT

Last pushed

May 28, 2024

Commits (30d)

0

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