Biapy's Bookmarks

JAX

https://jax.readthedocs.io/en/latest/

High performance array computing.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

JAX @ GitHub.

Related contents:

The PyTorch developer's guide to JAX fundamentals @ Google Cloud Blog.

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Added 1 year ago

numpy-ts

https://numpyts.dev/

Full NumPy, in TypeScript/JavaScript (94% coverage).

The most comprehensive NumPy implementation for TypeScript and JavaScript. Write numerical computing code with the same API you already know from Python — fully type-safe, tree-shakeable, and validated against NumPy itself.

numpy-ts @ GitHub.

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Added 3 months ago

picklescan

https://github.com/mmaitre314/picklescan

Security scanner detecting Python Pickle files performing suspicious actions

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Added 1 year ago

KlongPy

https://github.com/briangu/klongpy

High-Performance Klong array language in Python.

KlongPy is a Python adaptation of the Klong array language, known for its high-performance vectorized operations that leverage the power of NumPy. Embracing a "batteries included" philosophy, KlongPy combines built-in modules with Python's expansive ecosystem, facilitating rapid application development with Klong's succinct syntax.

data-science foss library numpy open-source python

Added 1 year ago

JAX

https://docs.jax.dev/en/latest/

High performance array computing.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more. JAX provides a familiar NumPy-style API for ease of adoption by researchers and engineers.

JAX @ GitHub.