Reading Log | January 2021
This is my first reading log! I put down links to most of the things I read every month. All of these are "recommended" to some extent, since that's the reason I chose to finish reading them. This month is slightly incomplete since I only came up with this recently.
Misc
http://web.mit.edu/6.055/old/S2009/notes/jump-heights.pdf
Every day of Money Stuff
Programming
TorchScript Language Reference — PyTorch 1.7.0 documentation
Ditherpunk — The article I wish I had about monochrome image dithering — surma.dev
Pushing the limits of GPU performance with XLA | by TensorFlow | TensorFlow | Medium
XLA: TensorFlow, Compiled! (TensorFlow Dev Summit 2017) - YouTube
GitHub - google-research/dex-lang: Research language for array processing in the Haskell/ML family
GitHub - deepmind/dm-haiku: JAX-based neural network library
https://www.plymouth.ac.uk/uploads/production/document/path/3/3742/PlymouthUniversity_MathsandStats_gradients_and_directional_deriavatives.pdf
