seqeval
SciKit-Learn Laboratory
Our great sponsors
| seqeval | SciKit-Learn Laboratory | |
|---|---|---|
| 1 | 0 | |
| 908 | 532 | |
| 2.6% | 0.8% | |
| 0.0 | 0.0 | |
| 7 days ago | 2 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
seqeval
We haven't tracked posts mentioning seqeval yet.
Tracking mentions began in Dec 2020.
SciKit-Learn Laboratory
We haven't tracked posts mentioning SciKit-Learn Laboratory yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
scikit-learn - scikit-learn: machine learning in Python
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Keras - Deep Learning for humans
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
tensorflow - An Open Source Machine Learning Framework for Everyone
Metrics - Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Pylearn2 - Warning: This project does not have any current developer. See bellow.
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