Jupyter Notebook named-entity-recognition

Open-source Jupyter Notebook projects categorized as named-entity-recognition

Top 6 Jupyter Notebook named-entity-recognition Projects

  • bert-sklearn

    a sklearn wrapper for Google's BERT model

  • NL_Parser_using_Spacy

    NLP parser using NER and TDD

  • 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.

    WorkOS logo
  • langhuan

    Light weight labeling engine

  • 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 !

  • Multimodal

    Listen. Write. Speak. Read. Think. (by kritiksoman)

  • 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.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Index

What are some of the best open-source named-entity-recognition projects in Jupyter Notebook? This list will help you:

Project Stars
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

Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com