Skip to main content
  • Home
  • Development
  • Documentation
  • Donate
  • Operational login
  • Browse the archive

swh logo
SoftwareHeritage
Software
Heritage
Archive
Features
  • Search

  • Downloads

  • Save code now

  • Add forge now

  • Help

swh:1:snp:4e3e7077647a709f15b8c1b32ce7100175d0580b
  • Code
  • Branches (2)
  • Releases (15)
    • Branches
    • Releases
    • HEAD
    • refs/heads/main
    • refs/tags/0.6.0
    • 0.5.1
    • 0.5.0
    • 0.4.5
    • 0.4.4
    • 0.4.3
    • 0.4.2
    • 0.4.1
    • 0.4.0
    • 0.3.0
    • 0.2.0
    • 0.1.6
    • 0.1.5
    • 0.1.4
    • 0.1.3
    • 0.1.2
Permalinks

To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.

  • revision
  • snapshot
  • release
revision badge
swh:1:rev:0fa8ab5b81e54410ee9b34a1ac5e45eebda7e387
snapshot badge
swh:1:snp:4e3e7077647a709f15b8c1b32ce7100175d0580b
release badge
swh:1:rel:53cbc0e5d572f875ad9cd42594eb5cc8a7e0e299
Citations

This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
Select below a type of object currently browsed in order to generate citations for them.

  • revision
  • snapshot
  • release
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...

sort by:
RevisionAuthorDateMessageCommit Date
0fa8ab5 Jean Kossaifi06 August 2019, 17:16:06 UTCUpload only once06 August 2019, 17:16:06 UTC
c66c52e Jean Kossaifi06 August 2019, 16:57:05 UTCUse Travis to deploy to Pypi06 August 2019, 16:57:05 UTC
44e3c07 Jean Kossaifi06 August 2019, 16:11:53 UTCAdded test case for rank-1 CP decomposition06 August 2019, 16:11:53 UTC
7636ad6 Jean Kossaifi06 August 2019, 16:11:41 UTCTensorflow backend: update solve06 August 2019, 16:11:41 UTC
ec215f5 Jean Kossaifi06 August 2019, 15:41:15 UTCTensorflow backend: minor update Use tf.linalg.qr instead of the (deprecated) tf.qr06 August 2019, 15:41:15 UTC
0b6eb27 Jean Kossaifi06 August 2019, 14:16:26 UTCSatisfy pydata sparse..06 August 2019, 14:16:26 UTC
ccbe247 Jean Kossaifi06 August 2019, 14:05:08 UTCSatisfy tensorflow...06 August 2019, 14:05:08 UTC
26034e1 Jean Kossaifi06 August 2019, 13:56:23 UTCMXNet specific fix06 August 2019, 13:56:23 UTC
e8ac360 Jean Kossaifi06 August 2019, 13:52:24 UTCUpdate06 August 2019, 13:52:24 UTC
14ec121 Jean Kossaifi06 August 2019, 13:44:36 UTCFIX kruskal_norm06 August 2019, 13:44:36 UTC
2bb3e8c Jean Kossaifi06 August 2019, 13:04:20 UTCUpdate tol06 August 2019, 13:04:20 UTC
6782b4c Jean Kossaifi06 August 2019, 13:00:48 UTCMinor change in tensorflow backend06 August 2019, 13:00:48 UTC
0965ef2 Jean Kossaifi06 August 2019, 13:00:18 UTCUpdated version of Python used for tests06 August 2019, 13:00:18 UTC
90c3745 Jean Kossaifi06 August 2019, 12:59:52 UTCFIX: kruskal normalise06 August 2019, 12:59:52 UTC
d64eb49 Jean Kossaifi06 August 2019, 12:41:32 UTCFIX: kruskal normalisation + rec error estimation06 August 2019, 12:41:32 UTC
56ad880 Jean Kossaifi06 August 2019, 12:41:16 UTCAdds outer-product06 August 2019, 12:41:16 UTC
d4fca6a Jean Kossaifi05 August 2019, 09:15:08 UTCMerge pull request #123 from kingsj0405/feature/issue#122 Use UTF-8 encoding05 August 2019, 09:15:08 UTC
8329b4f kingsj040501 August 2019, 19:24:28 UTCUse UTF-8 encoding01 August 2019, 19:24:28 UTC
1fadece Jean Kossaifi26 July 2019, 19:53:19 UTCAdd back mask to kruskal_to_tensor26 July 2019, 19:53:19 UTC
02f084a Jean Kossaifi26 July 2019, 19:52:30 UTCTest for correctness of weights for Kruskal tensor26 July 2019, 19:52:30 UTC
929a1fd Jean Kossaifi26 July 2019, 19:52:00 UTCAdded diag to backend26 July 2019, 19:52:00 UTC
28086e9 Jean Kossaifi13 June 2019, 11:21:00 UTCsparse DOC: kruskal_tensors have weights13 June 2019, 11:21:00 UTC
4bfad4d Jean Kossaifi13 June 2019, 11:17:34 UTCUpdate sparse DOC13 June 2019, 11:17:34 UTC
fd4b6f3 Jean Kossaifi13 June 2019, 11:13:06 UTCAdd sparse functions to API13 June 2019, 11:13:06 UTC
a8391c5 Jean Kossaifi04 June 2019, 23:00:13 UTCMerge branch 'master' of https://github.com/tensorly/tensorly04 June 2019, 23:00:13 UTC
9ba7294 Jean Kossaifi04 June 2019, 22:59:48 UTCFIX: orthogonalisation04 June 2019, 22:59:48 UTC
696aa5d Jean Kossaifi31 May 2019, 09:41:45 UTCFIX: use _get_backend_method in dispatch31 May 2019, 09:41:45 UTC
6b46712 Jean Kossaifi13 May 2019, 23:08:18 UTCDOC: update for tucker tensor syntax + update API13 May 2019, 23:08:18 UTC
47063bc Jean Kossaifi13 May 2019, 22:51:08 UTCUpdate to Tucker tensor as tuples13 May 2019, 22:51:08 UTC
7349038 Jean Kossaifi01 May 2019, 12:01:28 UTCMerge pull request #87 from JeanKossaifi/tensor-classes Adding a KruskalTensor class and enforces that kruskal tensors (e.g. tensors decomposed with Parafac) should always be expressed as mappings (tuple like) object of the form (weights, factor_list). It also adds various function to check the validity of input decomposed tensors (CP, Tucker and MPS) and efficient operations on decomposed tensors.01 May 2019, 12:01:28 UTC
31f025a Jean Kossaifi23 April 2019, 16:37:23 UTCFIX precision for multi-mode-dot tests23 April 2019, 16:37:23 UTC
1779931 Jean Kossaifi23 April 2019, 15:31:24 UTCFIX: typos/non-tensorly tensor23 April 2019, 15:31:24 UTC
86bd4ae Jean Kossaifi23 April 2019, 15:30:58 UTCAdded tucker_mode_dot n-mode-product between Tucker tensor and matrix/vector23 April 2019, 15:30:58 UTC
71fd23b Jean Kossaifi23 April 2019, 15:23:56 UTCAdded MPS tensor validation23 April 2019, 15:23:56 UTC
5de19fa Jean Kossaifi23 April 2019, 15:12:29 UTCAdd tucker_tensor validation23 April 2019, 15:12:29 UTC
99572fe Jean Kossaifi23 April 2019, 13:35:47 UTCFIX kruskal_tensor for sparse_backend Always carry weights around, e.g. kruskal_tensor = (weights, factors) always23 April 2019, 13:35:47 UTC
b1f9077 Jean Kossaifi23 April 2019, 13:28:48 UTCFIX kruskal_tensor Now kruskal_tensor should always be (weights, factors)23 April 2019, 13:28:48 UTC
47028b7 Jean Kossaifi22 April 2019, 17:07:29 UTCMerge branch 'master' into tensor-classes22 April 2019, 17:07:29 UTC
ce9cfaa Jean Kossaifi18 April 2019, 14:11:50 UTCMerge branch 'master' of https://github.com/tensorly/tensorly18 April 2019, 14:11:50 UTC
5ec54f4 Jean Kossaifi18 April 2019, 13:48:43 UTCnn-tucker: FIX when only one mode provided18 April 2019, 13:48:43 UTC
82831d8 Jean Kossaifi15 April 2019, 09:14:03 UTCMerge pull request #90 from Quansight/sparse-robust-pca Sparse robust pca15 April 2019, 09:14:03 UTC
bbc9141 Jean Kossaifi15 April 2019, 08:51:20 UTCMinor refactor: svd_thresholding always returns a tensor15 April 2019, 08:51:20 UTC
4a64976 Jean Kossaifi11 April 2019, 16:28:48 UTCMerge branch 'master' into sparse-robust-pca11 April 2019, 16:28:48 UTC
d329bac Jean Kossaifi10 April 2019, 21:51:29 UTCMerge branch 'master' of https://github.com/tensorly/tensorly10 April 2019, 21:51:29 UTC
3699d2d Jean Kossaifi10 April 2019, 21:50:51 UTCFIX README: sparse SVD fails on int array...10 April 2019, 21:50:51 UTC
58d6e34 Jean Kossaifi10 April 2019, 12:11:10 UTCMerge pull request #107 from JeanKossaifi/Quansight-sparse-docs Add sparse docs10 April 2019, 12:11:10 UTC
74ed476 Jean Kossaifi10 April 2019, 12:00:05 UTCUpdate sparse documentation.10 April 2019, 12:00:05 UTC
65250b8 Jean Kossaifi10 April 2019, 11:21:27 UTCMerge branch 'sparse-docs' of git://github.com/Quansight/tensorly into Quansight-sparse-docs10 April 2019, 11:21:27 UTC
3909404 Jean Kossaifi05 April 2019, 10:51:50 UTCMerge pull request #105 from JeanKossaifi/sparse-missing-values Sparse missing values for PARAFAC05 April 2019, 10:51:50 UTC
82175d1 Jean Kossaifi05 April 2019, 10:51:36 UTCMerge branch 'master' into sparse-missing-values05 April 2019, 10:51:36 UTC
39c1f27 Jean Kossaifi05 April 2019, 10:47:27 UTCAdded reference05 April 2019, 10:47:27 UTC
b201b5a Jean Kossaifi03 April 2019, 11:00:07 UTCMerge pull request #106 from JeanKossaifi/maximeguillaud-master Support for complex tensors in CP03 April 2019, 11:00:07 UTC
8d8f035 Jean Kossaifi31 March 2019, 00:09:32 UTCSupport for complex tensors in PARAFAC31 March 2019, 00:09:32 UTC
12748bf Jean Kossaifi31 March 2019, 00:09:27 UTCMerge branch 'master' of git://github.com/maximeguillaud/tensorly into maximeguillaud-master31 March 2019, 00:09:27 UTC
52b4ed1 Jean Kossaifi29 March 2019, 20:15:42 UTCUpdated README29 March 2019, 20:15:42 UTC
2a95291 Jean Kossaifi29 March 2019, 20:14:27 UTCUpdated README Update tensorly paper reference.29 March 2019, 20:14:27 UTC
0bd6e88 Jean Kossaifi26 March 2019, 23:14:37 UTCMore efficient kruskal_to_tensor26 March 2019, 23:14:37 UTC
a0bde0d Jean Kossaifi26 March 2019, 23:14:11 UTCReadibility of khatri-rao26 March 2019, 23:14:11 UTC
429b4a7 Aaron Meurer12 March 2019, 18:04:29 UTCUse tl.kruskal_to_tensor Also remove an unused import.12 March 2019, 18:04:29 UTC
d541246 Aaron Meurer12 March 2019, 17:59:13 UTCMerge branch 'master' into sparse-parafac-missing12 March 2019, 17:59:13 UTC
d0976b2 Jean Kossaifi12 March 2019, 11:10:40 UTCMerge pull request #102 from JeanKossaifi/sparse_parafac Adding sparse parafac12 March 2019, 11:10:40 UTC
7d60391 Jean Kossaifi11 March 2019, 20:17:48 UTCAdded test for sparse parafac11 March 2019, 20:17:48 UTC
61ea788 Jean Kossaifi11 March 2019, 12:37:50 UTCTests for sparse tenalg11 March 2019, 12:37:50 UTC
8a89e6a Jean Kossaifi11 March 2019, 12:23:18 UTCTYPO11 March 2019, 12:23:18 UTC
dddc4ed Jean Kossaifi11 March 2019, 12:19:43 UTCUpdate Travis + test for sparse with numpy11 March 2019, 12:19:43 UTC
85bab72 Jean Kossaifi10 March 2019, 19:44:02 UTCSparse: minor refactor + test tenalg10 March 2019, 19:44:02 UTC
181f83e Jean Kossaifi10 March 2019, 19:00:45 UTCAdding unfolding_dot_khatri_rao test + misc * wrap unfolding_dot_khatri_rao for sparse * added email for asmeurer10 March 2019, 19:00:45 UTC
8ec55ae Jean Kossaifi07 March 2019, 22:18:24 UTCRemove unused variable07 March 2019, 22:18:24 UTC
44d7608 Jean Kossaifi07 March 2019, 22:17:44 UTCUpdate authors list07 March 2019, 22:17:44 UTC
ab257e6 Jean Kossaifi07 March 2019, 22:09:16 UTCRefactor mttkrp07 March 2019, 22:09:16 UTC
4996a23 Jean Kossaifi26 February 2019, 14:02:08 UTCMerge branch 'sparse-parafac' of git://github.com/Quansight/tensorly into sparse_parafac26 February 2019, 14:02:08 UTC
8206345 Aaron Meurer21 February 2019, 02:28:13 UTCUse tl.shape instead of tensor.shape21 February 2019, 02:28:13 UTC
5d6290b Aaron Meurer21 February 2019, 02:18:18 UTCUse tl.reshape instead of tensor.reshape21 February 2019, 02:18:18 UTC
d7f320a Aaron Meurer20 February 2019, 23:48:46 UTCMore efficient mttkrp in parafac() It now computes along all ranks at once, while still computing in such a way so as to be sparse-safe (it does not create the full Khatri-Rao as an intermediate array). This is about 3x faster.21 February 2019, 00:05:32 UTC
80e17b5 Jean Kossaifi20 February 2019, 23:54:34 UTCFIX: sparse imports20 February 2019, 23:54:34 UTC
69db31b Aaron Meurer20 February 2019, 19:16:45 UTCFix dot in the numpy backend It must use a.dot(b) for the numpy backend parafac to work properly with sparse inputs.20 February 2019, 19:16:45 UTC
26ce3d1 Aaron Meurer18 February 2019, 19:01:54 UTCUse direct slicing instead of reshape to create a new axis18 February 2019, 19:01:54 UTC
b491ef1 Jean Kossaifi11 February 2019, 22:57:30 UTCMerge branch 'sparse-parafac' of git://github.com/Quansight/tensorly into Quansight-sparse-parafac11 February 2019, 22:57:30 UTC
1d54a35 Aaron Meurer11 February 2019, 21:27:36 UTCUse transpose directly instead of moveaxis in the mttkrp This provides a slight performance improvement.11 February 2019, 21:27:36 UTC
ad0c2a6 Jean Kossaifi06 February 2019, 12:50:37 UTCFIX for solve in PyTorch backend06 February 2019, 12:50:37 UTC
ddc74bf Aaron Meurer05 February 2019, 20:01:33 UTCRemove duplicate stack definition05 February 2019, 20:01:33 UTC
cd88d3f Aaron Meurer05 February 2019, 19:45:23 UTCFix issues with mxnet backend Some custom methods were not being used because of a bad merge conflict resolution.05 February 2019, 19:45:23 UTC
bbe5336 Aaron Meurer05 February 2019, 18:24:32 UTCMerge branch 'master' into sparse-parafac05 February 2019, 18:24:32 UTC
2d56a42 Jean Kossaifi05 February 2019, 18:18:43 UTCMerge pull request #95 from JeanKossaifi/backend-manager Backend refactor + sparse support for numpy05 February 2019, 18:18:43 UTC
114e663 Jean Kossaifi01 February 2019, 15:11:57 UTCTest backend: remove needless try01 February 2019, 15:11:57 UTC
6fd2894 Jean Kossaifi30 January 2019, 23:58:40 UTCAdd back dynamical dispatch for backend methods Also bump version30 January 2019, 23:58:40 UTC
d4da362 Maxime Guillaud24 January 2019, 19:47:58 UTCMake parafac() robust to complex tensors24 January 2019, 19:47:58 UTC
99f2d6a Jean Kossaifi14 January 2019, 15:55:22 UTCFIX sparse backend14 January 2019, 15:55:22 UTC
87dc6d7 Maxime Guillaud13 January 2019, 09:03:09 UTCMake norm() from numpy backend robust to complex tensors13 January 2019, 09:03:09 UTC
b742c47 Jean Kossaifi10 January 2019, 20:44:06 UTCFIX contraction tests10 January 2019, 20:44:06 UTC
478d832 Jean Kossaifi10 January 2019, 18:01:10 UTCFix the sparse backend10 January 2019, 18:01:10 UTC
c10f44e Jean Kossaifi08 January 2019, 21:55:22 UTCMerge branch 'master' into backend-manager08 January 2019, 21:55:22 UTC
e1361b8 Jean Kossaifi08 January 2019, 15:55:14 UTCFIX: forgotten backend registration08 January 2019, 15:55:14 UTC
591f5b7 Jean Kossaifi02 January 2019, 16:16:11 UTCRevert to functions02 January 2019, 16:16:11 UTC
91f85a5 Jean Kossaifi28 December 2018, 12:10:37 UTCRefactor + Thread Local + context manager28 December 2018, 12:10:37 UTC
7e69725 Jean Kossaifi25 December 2018, 21:57:43 UTCupdate25 December 2018, 21:57:43 UTC
247917c Jean Kossaifi23 December 2018, 23:37:01 UTCTYPO23 December 2018, 23:37:01 UTC
f04806e Jean Kossaifi23 December 2018, 23:32:26 UTCMXNET: fix reshape with empty shape23 December 2018, 23:32:26 UTC
05b6b2f Jean Kossaifi23 December 2018, 23:13:49 UTCAdds tensor contraction23 December 2018, 23:13:49 UTC
3580c8f Jean Kossaifi23 December 2018, 20:57:48 UTCBackendManager draft23 December 2018, 20:57:48 UTC
  • Newer
  • Older

Software Heritage — Copyright (C) 2015–2025, The Software Heritage developers. License: GNU AGPLv3+.
The source code of Software Heritage itself is available on our development forge.
The source code files archived by Software Heritage are available under their own copyright and licenses.
Terms of use: Archive access, API— Contact— JavaScript license information— Web API

back to top