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# Intro to the Machine Learning Libraries

## About

This workshop provides demonstrations of the effective usage of popular machine learning libraries on the HPC clusters at Princeton. It shows how to install each library as well as how to write Slurm scripts to take advantage of multi-threading and/or GPUs. The material covers PyTorch, TensorFlow, JAX, Julia, Spark, Rapids, Scikit-learn, R and Snap ML.

<!--
## Announcements

#### AI for Science Bootcamp, by NVIDIA
Tue May 18, 9am-12:30pm & Wed May 19, 9am-12:30pm  
Virtual workshop (Zoom link will be emailed to accepted participants)  
[Registration is required](https://researchcomputing.princeton.edu/events/2021/ai-science-bootcamp-nvidia)
-->

## Useful links
- [PyTorch at Princeton](https://github.com/PrincetonUniversity/install_pytorch)  |  [PyTorch.org](https://pytorch.org)  
- [TensorFlow at Princeton](https://github.com/PrincetonUniversity/slurm_mnist) | [TensorFlow.org](https://www.tensorflow.org)  
- [Spark at Princeton](https://researchcomputing.princeton.edu/faq/spark-via-slurm) | [Spark website for ML](https://spark.apache.org/docs/latest/ml-guide.html)
- [MATLAB at Princeton](https://researchcomputing.princeton.edu/matlab) | [MATLAB website for ML](https://www.mathworks.com/solutions/machine-learning.html)  
- [Julia at Princeton](https://researchcomputing.princeton.edu/julia) 
- [NVIDIA Rapids](https://rapids.ai/)  
- [R at Princeton](https://researchcomputing.princeton.edu/R) | [R ML packages on CRAN](https://cran.r-project.org/web/views/MachineLearning.html) 
- [Python at Princeton](https://researchcomputing.princeton.edu/support/knowledge-base/python)) | [Scikit-Learn website](https://scikit-learn.org/stable/)

<!--
## Adroit Reservation

Add the following line to your Slurm script for access to the V100 GPU node during the workshop:

```
#SBATCH --reservation=mllib      # REMOVE THIS LINE AFTER THE WORKSHOP
```

#### NVIDIA GPU Hackathon at Princeton

Dates: June 2, 8-10  
[Become a mentor](https://bit.ly/PU_becomeGPUmentor)

#### New GPU Nodes

Della will soon have 20 nodes with 2 [A100](https://www.nvidia.com/en-us/data-center/a100/) GPUs per node.  
TigerGPU will hopefully be replaced in the Fall.  
AMD GPU node coming to Adroit in the coming weeks.

## Workshop Survey and Screenshots
[Start Survey](http://bit.ly/picscie_wkshp_survey_spring2021)
-->

<!--
## Attendance Sheet

[Click here](https://docs.google.com/spreadsheets/d/1t0T7YI81exo_CEIMLoViIwjwUNYMrgOIXqkmar3WRPw/edit#gid=0)
-->

## Getting Help

If you encounter any difficulties while working with the machine learning libraries on the HPC clusters then please send an email to <a href="mailto:cses@princeton.edu">cses@princeton.edu</a> or attend a <a href="https://researchcomputing.princeton.edu/education/help-sessions">help session</a>.

## Authorship

This workshop was created by Jonathan Halverson.

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