pytorch-custom-dataset-examples | Some custom dataset examples for PyTorch | Machine Learning library

pytorch-custom-dataset-examples is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. pytorch-custom-dataset-examples has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However pytorch-custom-dataset-examples build file is not available. You can download it from GitHub.

Update after two years: It has been a long time since I have created this repository to guide people who are getting started with pytorch (like myself back then). However, over the course of years and various projects, the way I create my datasets changed many times. I included an additional bare bone dataset here to show what I am currently using. I would like to note that the reason why custom datasets are called custom is because you can shape it in anyway you desire. So, it is only natural that you (the reader) will develop your way of creating custom datasets after working on different projects. Examples presented in this project are not there as the ultimate way of creating them but instead, there to show the flexibility and the possiblity of pytorch datasets. I hope this repository is/was useful in your understanding of pytorch datasets. There are some official custom dataset examples on PyTorch repo like this but they still seemed a bit obscure to a beginner (like me, back then) so I had to spend some time understanding what exactly I needed to have a fully customized dataset. To save you the trouble of going through bajillions of pages, here, I decided to write down the basics of Pytorch datasets. The topics are as follows.