点击上方“Deephub Imba”,关注公众号,好文章不错过 !在深度学习落地过程中，有一个常见的误区：一旦推理速度不达标，大家的第一反应往往是拿着模型开到，比如：做剪枝、搞蒸馏、甚至牺牲精度换小模型。实际上生产环境中的 Python ...

There is a phenomenon in the Python programming language that affects the efficiency of data representation and memory. I call it the "invisible line." This invisible line might seem innocuous at ...

点击上方“Deephub Imba”,关注公众号,好文章不错过 !Scikit-Learn 1.8.0 更新引入了实验性的 Array API 支持。这意味着 CuPy 数组或 PyTorch 张量现在可以直接在 Scikit-Learn ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...

You may have heard about NumPy and wondered why it seems so essential to data analysis in Python. What makes NumPy seemingly end up everywhere in statistical calculations with Python? Here are some ...

[Zoltán] sends in his very interesting implementation of a NumPy-like library for micropython called ulab. He had a project in MicroPython that needed a very fast FFT on a micro controller, and was ...

NumPy (Numerical Python) is an open-source library for the Python programming language. It is used for scientific computing and working with arrays. Apart from its multidimensional array object, it ...