Just one of the things I'm learning. https://github.com/hchiam/learning

https://pytorch.org

https://pytorch.org/get-started/locally --> this website automatically suggests how to install locally

e.g.:

conda install pytorch torchvision -c pytorch

or I think I prefer this:

pip3 install torch torchvision

or minimally just:

pip3 install torch

There's much more in the docs, but here's a sample of some interesting pages:

• recipes: https://pytorch.org/tutorials/recipes/recipes_index.html
  • neural network: https://pytorch.org/tutorials/recipes/recipes/defining_a_neural_network.html
  • saving/loading/using models: https://pytorch.org/tutorials/recipes/recipes/saving_and_loading_models_for_inference.html
• tutorials: https://pytorch.org/tutorials
  • quickstart tutorial: https://pytorch.org/tutorials/beginner/basics/quickstart_tutorial.html (python code to download open datasets, create models, set model params, save model, and load model for use)
• mobile deployment: https://pytorch.org/get-started/mobile

# creates model.pth:
python3 demo_run_save_model.py

# and now model.pth can be used by:
python3 demo_use_model.py

• As a subprocess (I think this is easier): https://stackoverflow.com/a/11779234

• Directly coding in C# as a library: https://github.com/dotnet/TorchSharp

  • Here are some examples of using TorchSharp: https://github.com/dotnet/TorchSharpExamples/tree/main/src/CSharp/CSharpExamples

https://colab.research.google.com/drive/1roZqqhsdpCXZr8kgV_Bx_ABVBPgea3lX