scirs2 0.4.4

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 40 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

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

ndimage

neural

nn

oxifft

profiling

This feature flag does not enable additional features.

rocm

series

symbolic

text

vision

wasm