
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.
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
