Tutorials:
Basic:

• 60 minute blitz
• Language modeling with RNN, no preprocessing
• An introduction to reinforcement learning with torch and gym
• Writing your own neural network module in python
• Writing your own neural network module in C (CFFI)
• Writing a neural network package (like nnx)
• Clean up the RL tutorial

Intermediate:

• Model Parallel / Pipeline Parallel RNNs
• Hooks / Learning to Learn
• Multiprocessing: Self-play RL agent

Reference Docs:

• torch ( Add Sphinx docs #350 )
• autograd ( Docs improvements #368 )
• optim ( Docs improvements #368 )
• nn
• multiprocessing
• utils