explosion/projects
🪐 End-to-end NLP workflows from prototype to production
This collection of project templates helps data scientists and NLP engineers manage and share end-to-end natural language processing workflows. You can start with a template, input your own text data, and train a custom NLP pipeline. The output is a deployable Python package of your trained model, ready for sharing or production.
1,423 stars. No commits in the last 6 months.
Use this if you need structured, repeatable workflows for developing, training, and deploying custom NLP models across different use cases and domains.
Not ideal if you're looking for a simple, no-code solution for basic text analysis or if you don't plan to customize or deploy your own NLP models.
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Language
Python
License
MIT
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Last pushed
Oct 15, 2024
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