
PYPI . ORG {
}
Title:
jaxยทPyPI
Description:
Differentiate, compile, and transform Numpy code.
Website Age:
9 years and 11 months (reg. 2015-07-24).
Matching Content Categories {๐}
- Technology & Computing
- Education
- Mobile Technology & AI
Content Management System {๐}
What CMS is pypi.org built with?
Custom-built
No common CMS systems were detected on Pypi.org, and no known web development framework was identified.
Traffic Estimate {๐}
What is the average monthly size of pypi.org audience?
๐ Impressive Traffic: 500k - 1M visitors per month
Based on our best estimate, this website will receive around 604,641 visitors per month in the current month.
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How Does Pypi.org Make Money? {๐ธ}
We can't tell how the site generates income.
The purpose of some websites isn't monetary gain; they're meant to inform, educate, or foster collaboration. Everyone has unique reasons for building websites. This could be an example. Pypi.org has a secret sauce for making money, but we can't detect it yet.
Keywords {๐}
jax, python, pypi, import, inputs, return, gpu, differentiation, def, instructions, project, automatic, function, explicit, pip, install, details, transformations, reference, functions, targets, documentation, data, version, differentiate, compile, scale, jaxgrad, jaxjit, google, jaxnumpy, jnp, prints, jit, global, docs, numpy, code, verified, cpu, tpu, cuda, status, numerical, computing, scaling, computation, derivatives, order, xla,
Topics {โ๏ธ}
high-performance numerical computing turning matrix-vector multiplies python software foundation community-supported conda build supports reverse-mode differentiation installation supported platforms accelerator-oriented array computation compiler-based automatic parallelization alternative installation strategies jax team requires composable function transformations large-scale machine learning official google product policy status citing jax user-provided constraints open-source release matrix-matrix multiplies experimental google tpu composable transformations transforming numerical functions python package index efficient jacobian matrices frequently-asked questions matthew james johnson reference documentation forward-mode differentiation jax autodiff cookbook expect sharp edges python control flow single global machine google tpu sharding import set_mesh pip install /jax-ml/jax} gotchas notebook install guide docs sponsors log transform numpy code higher-order function device programming jax nvidia gpu pypi bugs pypi terms blocks logos registered trademarks reference docs research project developer documentation gotchas
Questions {โ}
- Mode View?
- What is JAX?
External Links {๐}(47)
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