Top 6 Jupyter Notebook named-entity-recognition Projects
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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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nlphose
Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !
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NLU-engine-prototype-benchmarks
Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.
Index
What are some of the best open-source named-entity-recognition projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | bert-sklearn | 293 |
2 | NL_Parser_using_Spacy | 22 |
3 | langhuan | 12 |
4 | nlphose | 10 |
5 | Multimodal | 8 |
6 | NLU-engine-prototype-benchmarks | 5 |
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