srez
seqeval
srez | seqeval | |
---|---|---|
1 | 1 | |
5,288 | 1,046 | |
- | 0.7% | |
0.0 | 0.0 | |
over 6 years ago | 12 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
srez
-
What is something you 'learned' from a movie only to discover its not actually true?
Now you sorta can, with AI: https://github.com/david-gpu/srez
seqeval
-
Beginner questions about NER model evaluation.
. 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).
What are some alternatives?
tensorflow - An Open Source Machine Learning Framework for Everyone
scikit-learn - scikit-learn: machine learning in Python
Keras - Deep Learning for humans
SciKit-Learn Laboratory - SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
Metrics - Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
TFLearn - Deep learning library featuring a higher-level API for TensorFlow.
Pylearn2 - Warning: This project does not have any current developer. See bellow.
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)