For Machine Learning
datgerhardt opened this issue · 4 comments
Can you do this for machine learning too. I will appreciate it.
Already exits. Learn everything you need to make PR's at tinycorp and you know most of that stuff!
But does tinycorp have any detailed documentation regarding a broader overview of tinygrad? Or do you mean manually inspecting the codebase, figuring out what the function of one piece of code is, and then researching the theory behind that function?
There is a kinda okayis intro to tinygrad, provided you already kinda know what you are doing! https://github.com/geohot/tinygrad/tree/master/docs. If you need a more in depth guide there is a sketch of a course inspired by this one from one of the top contributors of tinygrad. https://github.com/jla524/fromthetensor
You can just watch the streams for some context I guess :D
Also there are resources out there I am sure!