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sequince-dev/orng: v0.1.0

Authors: Michael J. Williams; Colm Talbot;

sequince-dev/orng: v0.1.0

Abstract

orng v0.1.0 First stable release of orng, a unified, cross-backend random number generator built on the Array API standard. It mirrors a subset of the numpy.random.Generator API: random uniform normal choice gamma letting you pick the underlying backend at runtime. The following backends are currently supported: numpy torch cupy jax Installation orng can be installed from PyPI using pip: pip install orng Quickstart from orng import RandomGenerator rng = RandomGenerator(backend="numpy", seed=42) samples = rng.normal(loc=0.0, scale=1.0, size=5) Fucntional API orng also provides a functional API compatible with jax JIT compilation. See the documentation for more details.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average