seqeval VS CNTK

Compare seqeval vs CNTK and see what are their differences.

seqeval

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...) (by chakki-works)
Machine Learning sequence-labeling Natural Language Processing Deep Learning Python sequence-labeling-evaluation Conlleval named-entity-recognition
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CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit (by microsoft)
Artificial intelligence cognitive-toolkit Cntk Deep Learning Machine Learning deep-neural-networks neural-network Distributed Python C++ C# Java
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docs.microsoft.com
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seqeval CNTK
1 1
1,044 17,435
1.3% 0.0%
0.0 0.0
3 months ago about 1 year ago
Python C++
MIT License GNU General Public License v3.0 or later
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seqeval

Posts with mentions or reviews of seqeval. We have used some of these posts to build our list of alternatives and similar projects.
  • Beginner questions about NER model evaluation.
    1 project | /r/LanguageTechnology | 12 Mar 2021
    . The standard way to evaluate NER (or any other sequence labelling problem) is to use the conlleval script (https://www.clips.uantwerpen.be/conll2000/chunking/output.html) or through the seqeval package in python (https://github.com/chakki-works/seqeval) . Either way, you need a list of predicted labels and a list of gold labels (see the code example in the link, it should be trivial to converse your output to the same data format).

CNTK

Posts with mentions or reviews of CNTK. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-20.

What are some alternatives?

When comparing seqeval and CNTK you can also consider the following projects:

scikit-learn - scikit-learn: machine learning in Python

Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

SciKit-Learn Laboratory - SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

tensorflow - An Open Source Machine Learning Framework for Everyone

Metrics - Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

Caffe - Caffe: a fast open framework for deep learning.

flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)

Keras - Deep Learning for humans

seqeval vs scikit-learn CNTK vs Theano seqeval vs SciKit-Learn Laboratory CNTK vs tensorflow seqeval vs Metrics CNTK vs Pytorch seqeval vs tensorflow CNTK vs Caffe seqeval vs flair CNTK vs Keras seqeval vs Keras CNTK vs scikit-learn