Experiment with various machine learning algorithms using a collection of code written in NumPy.
From the README
$ git clone https://github.com/ddbourgin/numpy-ml.git $ cd numpy-ml && virtualenv npml && source npml/bin/activate $ pip3 install -r requirements-dev.txt
- Viterbi decoding
- Likelihood computation
- MLE parameter estimation via Baum-Welch/forward-backward algorithm
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeMachine learning, in numpy
numpy-ml has 16.3k stars on GitHub. It has been forked 3.8k times. numpy-ml is written mainly in Python. It has been in active development since 2019. numpy-ml is available under the GPL-3.0 license. Its main topics are attention, bayesian-inference, gaussian-mixture-models, gaussian-processes.
What is numpy-ml?
Machine learning, in numpy
Is numpy-ml open source?
numpy-ml is an open-source project. It is released under the GPL-3.0 license.
Is numpy-ml free?
Yes. numpy-ml is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
What license does numpy-ml use?
numpy-ml is available under the GPL-3.0 license.
What language is numpy-ml written in?
numpy-ml is written mainly in Python.
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