scirs2 0.4.2

A Rust port of SciPy with AI/ML extensions - Scientific Computing and AI Library (scirs2)
Documentation

scirs2

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 39 feature flags, 14 of them enabled by default.

default

standard (default)

cluster (default)

fft (default)

integrate (default)

interpolate (default)

linalg (default)

metrics (default)

optimize (default)

signal (default)

sparse (default)

spatial (default)

special (default)

stats (default)

transform (default)

ai

autograd

benchmarks

cache

This feature flag does not enable additional features.

cuda

This feature flag does not enable additional features.

datasets

distributed

experimental

full

graph

io

jit

logging

This feature flag does not enable additional features.

memory_management

This feature flag does not enable additional features.

mobile

This feature flag does not enable additional features.

ndimage

neural

nn

oxifft

profiling

This feature flag does not enable additional features.

rocm

This feature flag does not enable additional features.

series

symbolic

This feature flag does not enable additional features.

text

vision