learn-pytorch

This repository is meant to act as a gateway to learning Pytorch.

I tried to simplify the basics to a degree that is understandable to someone completely new to pytorch. As this repository matures, I plan on adding more advanced topics.

I would recommend having a basic working knowledge of the principles of deep learning before digging into this repository. An extremely brief summary can be found here.

Getting Started

Installation: git clone https://github.com/efar301/learn-pytorch.git

All notebooks are also available on google colab if you dont want to clone the repo.

If you're new to Pytorch I recommend starting here.

If you dont have a pytorch environment yet, you can make one here.

Table of Contents

• Getting Started: Environment Setup
• Tensor Operations
• Data Preparation: Dataset and DataLoader
• Model Creation
• Training Loops
• Evaluation and Metrics
• Inference
• Saving, Loading and Checkpointing
• GPU and Device Management

Follow the table of contents for a suggested learning guide.

Topics in Deep Learning

This section is under construction and more will be added.

• Image Processing

Example Models

There are some example models in test-models that can help you understand best practices for formatting your models in projects. More models will be added later.

Contributions

Feel free to make a pull request if you would like to change anything.