keywords: DeepLearning, PyTorch Notes

Tutorials

Offical Docs

WELCOME TO PYTORCH TUTORIALS
https://pytorch.org/tutorials/

Blogs

Understanding PyTorch with an example: a step-by-step tutorial
https://towardsdatascience.com/understanding-pytorch-with-an-example-a-step-by-step-tutorial-81fc5f8c4e8e

Youtube Tutorials

PyTorch Prerequisites - Syllabus for Neural Network Programming Course
https://www.youtube.com/watch?v=v5cngxo4mIg&list=PLZbbT5o_s2xrfNyHZsM6ufI0iZENK9xgG

Comparision between PyTorch and others

Jeremy Howard: Deep Learning Frameworks - TensorFlow, PyTorch, fast.ai | AI Podcast Clips
https://www.youtube.com/watch?v=XHyASP49ses

Is PyTorch Catching TensorFlow?
https://towardsdatascience.com/is-pytorch-catching-tensorflow-ca88f9128304

Source

Reinforcement Learning

PyTorch C++ Reinforcement Learning.
https://github.com/Omegastick/pytorch-cpp-rl

Continual Learning

Avalanche: an End-to-End Library for Continual Learning. Avalanche is an end-to-end Continual Learning library based on Pytorch, born within ContinualAI with the unique goal of providing a shared and collaborative open-source (MIT licensed) codebase for fast prototyping, training and reproducible evaluation of continual learning algorithms.
https://github.com/ContinualAI/avalanche

Fragment Examples

LCNN: End-to-End Wireframe Parsing
https://github.com/zhou13/lcnn

Be reverent before the dawning day. Do not think of what will be in a year, or in ten years. Think of to-day. ― Romain Rolland, Jean-Christophe - I