butanyways

5 ms·

1. 1.▲
   by butanyways 7mo ago

   Good introduction! Building pytorch-lite using python and numpy is the way to go. Free book: https://zekcrates.quarto.pub/deep-learning-library/ Ml by hand : https://github.com/workofart/ml-by-hand
2. 2.▲
   by butanyways 9mo ago

   maybe creating a simple "pytorch like library" and training models using that? No?
3. 3.▲
   by butanyways 9mo ago

   maybe we can create one ourselves. Posted this a few days ago here. A decent read: https://zekcrates.quarto.pub/deep-learning-library/
4. 4.▲
   by butanyways 9mo ago

   Yes i've read your blogposts way back then. Nice work with the gpt-2!!
5. 5.▲
   by butanyways 9mo ago

   thanks!!
6. 6.▲
   by butanyways 9mo ago

   If you are asking about the "micrograd" video then yes a little bit. "micrograd" is for scalars and we use tensors in the book. If you are reading the book I would recommend to first complete the series or atleast the &q
7. 7.▲
   by butanyways 9mo ago

   Yes!!
8. 8.▲
   by butanyways 9mo ago

   Its nice! Yeah a lot of the heavy lifting is done by Numpy.
9. 9.▲
   by butanyways 9mo ago

   I agree! What NumPy is doing is actually quite beautiful. I was thinking of writing a custom c++ backend for this thing. Lets see what happens this year.
10. 10.▲
    Build a Deep Learning Library(zekcrates.quarto.pub)

    134 points by butanyways 9mo ago|15 comments