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Papers: 10.1186/s12911-021-01459-0

https://doi.org/10.1186/s12911-021-01459-0

Transformers-sklearn: a toolkit for medical language understanding with transformer-based models

Cited by: 14
Author(s): Feihong Yang, Xuwen Wang, Hetong Ma, Jiao Li
Published: about 4 years ago

Software Mentions 9

pypi: learn
A simple printer of nested lines
Papers that mentioned: 154
Very Likely Science (65)
pypi: metric-learn
Python implementations of metric learning algorithms
Papers that mentioned: 1
Very Likely Science (100)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
Very Likely Science (100)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)
pypi: scikit-multilearn
Scikit-multilearn is a BSD-licensed library for multi-label classification that is built on top of the well-known scikit-learn ecosystem.
Papers that mentioned: 3
Very Likely Science (80)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)
pypi: sktime
A unified framework for machine learning with time series
Papers that mentioned: 2
Very Likely Science (100)
pypi: transformers
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Papers that mentioned: 1
Very Likely Science (100)