FAµST python toolbox

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  • License: BSD License (3-clause BSD 2.0)
  • Author: INRIA
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FAµST logo pipeline status coverage

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:

- speedup / 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.

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  • License: BSD License (3-clause BSD 2.0)
  • Author: INRIA
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3.42.2

3.42.2a0 pre-release

3.42.1

3.42.1a3 pre-release

3.42.0

3.42.0a2 pre-release

3.41.0

3.41.0a2 pre-release

3.40.3a2 pre-release

3.40.2

3.40.1

3.40.0

3.40.0a0 pre-release

3.39.25

3.39.25a0 pre-release

3.39.24

3.39.24a0 pre-release

3.39.23

3.39.23a0 pre-release

3.39.22

3.39.22a0 pre-release

3.39.21

3.39.21a0 pre-release

3.39.20

3.39.20a0 pre-release

3.39.19

3.39.19a1 pre-release

3.39.19a0 pre-release

3.39.18

3.39.17

3.39.16

3.39.15

3.39.14

3.39.13

3.39.12

3.39.11

3.39.10

This version

3.39.9

3.39.8

3.39.7

3.39.6

3.39.5

3.39.4

3.39.3

3.39.2

3.39.1

3.39.0

3.38.23

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3.38.0

3.37.13

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3.37.9

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3.37.0

3.36.0

3.35.18

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3.35.0

3.33.5

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3.33.1

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3.32.5

3.32.4

3.32.3

3.32.2

3.32.1

3.32.0

3.31.6

3.31.5

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3.31.3

3.31.2

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3.31.0

3.30.0

3.29.1

3.29.0

3.28.12

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3.28.0

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3.23.1

3.22.0

3.21.0

3.20.0

3.19.0

3.18.1

3.18.0

3.17.0

3.16.0

3.15.0

3.14.1

3.13.0

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