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Releases: Thinklab-SJTU/pygmtools

0.2.8

22 Sep 15:39
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What's Changed

  • Fix cropping operation on SPair71k dataset

Full Changelog: 0.2.7...0.2.8

0.2.7

13 Sep 06:38
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What's Changed

  • Add progress bar when downloading datsets
  • Sort WillowObject data list to facilitate partitioning the training and test set

Full Changelog: 0.2.6...0.2.7

0.2.6

13 Sep 06:25
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  • Update documentation for classic solvers and multi graph solvers
  • Support non-batched inputs: rrwm, ipfp, sm, utils.build_aff_mat, utils.compute_affinity_score

Full Changelog: 0.2.5...0.2.6

0.2.5

05 Sep 11:46
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What's Changed

  • Jittor support for classic_solvers.py by @wzever in #3
  • Support black-box differentiation for GAMGM
  • End of support for Python 3.6

Full Changelog: 0.2.4...0.2.5

pygmtools 0.2.4

15 Jul 03:57
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What's Changed

  • Paddle support for functions in classic_solvers.py by @Arist12 in #2
  • Bug fix for Sinkhorn
  • Updated debugging interface for GAMGM

Full Changelog: 0.2.3...0.2.4

pygmtools 0.2.3

28 Jun 16:37
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  • Support CUDA ops for MGM
  • Add "device" argument for from_numpy
  • Fix testing script for GAMGM

Full Changelog: 0.2.2...0.2.3

pygmtools 0.2.2

06 Apr 12:20
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  • Add multi-graph matching algorithms (cao, mgm-floyd, gamgm). Now pytorch backend is supported.
  • Add CI support for multi-graph matching
  • Bug fixes

Full Changelog: 0.2.1...0.2.2

pygmtools 0.2.1

22 Mar 09:39
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  • Add CI support
  • Bug fix: #1

Full Changelog: 0.2.0...0.2.1

pygmtools 0.2.0

02 Mar 14:58
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We include:

  • Benchmark on 5 datasets to handle dataset downloading/processing and evaluation.
    • You may also implement other datasets by this API.
  • Classic graph matching solvers on pytorch, numpy backend.