anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as named entity recognition (NER), part-of-speech tagging (POS tagging), semantic role labeling (SRL) and so on. Unlike traditional sequence labeling solver, anaGo doesn't need to define any language-dependent features. Thus, we can easily use anaGo for any language. In anaGo, the simplest type of model is the Sequence model. Sequence model includes essential methods like fit, score, analyze and save/load. For more complex features, you should use the anaGo modules such as models, preprocessing and so on.

Features

  • You can now iterate on your training data in batches
  • Evaluate your performance in one line
  • Download a pre-trained model, call download function
  • Use ELMo for better performance
  • Custom Model Support
  • Custom Callback Support

Project Samples

Project Activity

See All Activity >

Categories

Machine Learning

License

MIT License

Follow anaGo

anaGo Web Site

Other Useful Business Software
Build Data Resilience - Take the Assessment Today Icon
Build Data Resilience - Take the Assessment Today

Can you recover when it matters most? Take this quick assessment to identify gaps and build greater recovery confidence.

Is your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
Take the Assessment
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of anaGo!

Additional Project Details

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2022-08-15