Numpy on the GPU? Speeding up Simple Machine Learning Algorithms with JAX

Поделиться
HTML-код
  • Опубликовано: 21 ноя 2024

Комментарии • 6

  • @fancyfueko
    @fancyfueko  3 года назад +7

    anyone interested in trying out JAX (or better yet, a functional approach to parallelization)?

    • @glebbash
      @glebbash 3 года назад +3

      Not really, I'm here for Context Free face reveal :)

    • @fancyfueko
      @fancyfueko  3 года назад +2

      😂 thanks for stopping by!

  • @xelaxander
    @xelaxander 3 года назад +1

    Damn, I could have used this 4 weeks ago for an actual problem. Instead I calculated the derivatives the pedestrian way with pen and paper and wrote them in numba. Could've even used the GPU and saved myself some waiting.

    • @xelaxander
      @xelaxander 3 года назад

      Also: Easy sensitivity analysis!!!

    • @fancyfueko
      @fancyfueko  3 года назад +1

      next time! but its good to calculate the derivatives by hand at least once in life 🙂