AI and Machine Learning: Difference between revisions

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== General ==
== Python ==


At this location a discipline guide on AI and Machine Learning will be created.
[[Python]] is very popular in the field of machine learning. If you (plan to) use it on our clusters, please refer to [[Python|our documentation about Python]] to get important information about Python versions, virtual environments on login or on compute nodes, multiprocessing, Anaconda, Jupyter, etc.


== Software packages ==
== Useful information about software packages ==


The following software packages are available on Compute Canada's HPC resources:
Please refer to the page of your machine learning package of choice for useful information about how to install, common pitfalls, etc.:


* [[TensorFlow]]
* [[Keras]]
* [[Caffe2]]
* [[Caffe2]]
* [[PyTorch]]
* [[PyTorch]]
* [[TensorFlow]]
* [[Torch]]
* [[Torch]]
* [[SpaCy]]
* [[SpaCy]]
* [[XGBoost]]
* [[XGBoost]]

Revision as of 18:39, 16 July 2019


This article is a draft

This is not a complete article: This is a draft, a work in progress that is intended to be published into an article, which may or may not be ready for inclusion in the main wiki. It should not necessarily be considered factual or authoritative.



Python

Python is very popular in the field of machine learning. If you (plan to) use it on our clusters, please refer to our documentation about Python to get important information about Python versions, virtual environments on login or on compute nodes, multiprocessing, Anaconda, Jupyter, etc.

Useful information about software packages

Please refer to the page of your machine learning package of choice for useful information about how to install, common pitfalls, etc.: