Skip to main content

FAµST python toolbox

Project description

FAµST logo pipeline status coverage python3

The FAµST toolbox provides algorithms and data structures to decompose a given dense matrix into a product of sparse matrices in order to reduce its computational complexity (both for storage and manipulation).

FaµST can be used to:

  • speed up / reduce the memory footprint of iterative algorithms commonly used for solving high dimensional linear inverse problems,
  • learn dictionaries with an intrinsically efficient implementation,
  • compute (approximate) fast Fourier transforms on graphs.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

pyfaust-3.39.22-cp312-cp312-win_amd64.whl (5.9 MB view hashes)

Uploaded CPython 3.12 Windows x86-64

pyfaust-3.39.22-cp312-cp312-manylinux1_x86_64.whl (9.6 MB view hashes)

Uploaded CPython 3.12

pyfaust-3.39.22-cp312-cp312-macosx_10_9_universal2.whl (5.4 MB view hashes)

Uploaded CPython 3.12 macOS 10.9+ universal2 (ARM64, x86-64)

pyfaust-3.39.22-cp311-cp311-win_amd64.whl (5.8 MB view hashes)

Uploaded CPython 3.11 Windows x86-64

pyfaust-3.39.22-cp311-cp311-manylinux1_x86_64.whl (9.5 MB view hashes)

Uploaded CPython 3.11

pyfaust-3.39.22-cp311-cp311-macosx_10_9_x86_64.whl (5.4 MB view hashes)

Uploaded CPython 3.11 macOS 10.9+ x86-64

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page