Helpful Resources

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Helpful Resources 

In this database, I list some resources that are good for another point of reference and with more explanation. Some of these sources helped me make this reference document. 
I also, if possible, note the topic to which it helped me during the time of which I was reading/watching the source. 

Name

Topic(s)

URL/File(s)

Modality

"Understanding PyTorch with an example: a step-by-step tutorial" - Daniel Godoy

I found this useful for dataset and dataloader. Though, the article contains a good, overall summary of PyTorch.

https://towardsdatascience.com/understanding-pytorch-with-an-example-a-step-by-step-tutorial-81fc5f8c4e8e#2e24

Medium blog post

Building Efficient Custom Datasets in PyTorch

A detailed post about preprocessing data in PyTorch.

https://towardsdatascience.com/building-efficient-custom-datasets-in-pytorch-2563b946fd9f

Medium blog post

UVA Lecture Notes: Basic Image Processing

Explains image preprocessing techniques (i.e. brightness, color) as they fit in with PyTorch.

https://www.cs.virginia.edu/~vicente/recognition/notebooks/image_processing_lab.html

Article

PyTorch Metric Learning - Samplers

Explaining what "sampling" meant

https://kevinmusgrave.github.io/pytorch-metric-learning/samplers/

Article

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