https://github.com/tensorly/tensorly

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Revision Author Date Message Commit Date
c729db7 Add nose as a dependency 01 May 2018, 10:58 UTC
2aa831a FIX: ndim 01 May 2018, 10:58 UTC
0d0fcb5 README: minor update 29 April 2018, 21:12 UTC
e1dce3f Numpy is default for testing 29 April 2018, 17:08 UTC
3fb3b8d PyTorch backend: update context 27 April 2018, 16:35 UTC
8ffb893 PyTorch: use newly added native reshape 27 April 2018, 14:39 UTC
dcbd5df PyTorch: simplify backend 27 April 2018, 14:20 UTC
6abaee8 DOC 26 April 2018, 16:02 UTC
c4b3b4d DOC + bump version 26 April 2018, 15:15 UTC
f2eaca5 Pytorch backend: update channel 26 April 2018, 14:56 UTC
e0ebf6a Use PyTorch >= '0.4.0' 26 April 2018, 14:41 UTC
0d57fa2 DOC: missing dependency for imgmath 24 April 2018, 10:14 UTC
2394a1a DOC: minor refactor ci + texlive-extra 24 April 2018, 10:06 UTC
e3cd808 DOC: apt-get texlive 24 April 2018, 09:58 UTC
3459371 DOC: Make notation more consistent 23 April 2018, 23:17 UTC
e10a0d7 fix: remove spaces 23 April 2018, 23:04 UTC
b2ed1f9 Merge branch 'master' of https://github.com/tensorly/tensorly 23 April 2018, 23:03 UTC
9190a3c DOC: Refactor matrix 23 April 2018, 22:58 UTC
7c11e85 DOC: Fix 23 April 2018, 22:58 UTC
bf8dac9 DOC: use conda for install 23 April 2018, 22:58 UTC
5282925 Auto-doc: first attempt 23 April 2018, 22:58 UTC
8be7e74 DOC: Refactor matrix 23 April 2018, 22:50 UTC
4cf9110 DOC: Fix 23 April 2018, 22:50 UTC
50fa80f DOC: use conda for install 23 April 2018, 22:50 UTC
efc0900 Auto-doc: first attempt 23 April 2018, 22:17 UTC
441f7e4 Tucker decomposition: s/ranks/rank 23 April 2018, 09:55 UTC
eb71c2e Temporary fix for cupy.linalg.solve 20 April 2018, 15:38 UTC
65557d5 CuPy backend 19 April 2018, 21:58 UTC
4ed8e3b Added CuPy backend 19 April 2018, 21:32 UTC
7be66ab FIX: tensorflow, device setting 19 April 2018, 21:29 UTC
edeb4e4 avoid changing TL for local vars 18 April 2018, 10:54 UTC
e6c24e1 Make Fold and UnFold using tl 18 April 2018, 10:54 UTC
39a1c3f FIX: device (context) of tensors 17 April 2018, 22:11 UTC
ef173c4 Remove forgotten print 17 April 2018, 22:10 UTC
42b7f81 tensorflow backend 16 April 2018, 22:30 UTC
fd14ad8 Clean + prepare for new backend 16 April 2018, 21:58 UTC
a6f983e README: cosmetic changes Also use the website's url for the logo so it still works e.g. on pypi 12 April 2018, 18:59 UTC
e85704f forgot some more conj-calls 11 April 2018, 10:38 UTC
67e59ac eigenvalue computation requires conjugate transpose 11 April 2018, 10:38 UTC
4602c5f tenor -> tensor in docs 10 April 2018, 20:58 UTC
5aa7ab7 Make example tensor visible in docs 10 April 2018, 20:58 UTC
0896056 doc/CSS: minor change 08 April 2018, 21:11 UTC
f647ae4 README: re-added warning re. Python 3 only 08 April 2018, 17:05 UTC
f650466 DOC: a lot of additions and improvements 08 April 2018, 16:15 UTC
7958691 DOCSTRINGS: improved doc 08 April 2018, 13:33 UTC
8b6f4cb Better handling of none-installed backend imports 08 April 2018, 09:04 UTC
de7c005 README: more links update 07 April 2018, 17:29 UTC
2a9bda5 Updated README: new website domain! 07 April 2018, 16:19 UTC
d0ce505 README: fix links + shorten quickstart 06 April 2018, 19:28 UTC
4a75fe7 pytorch backend: fix for partial_svd 06 April 2018, 16:58 UTC
b2f1713 Cosmetic changes on README + added logo 05 April 2018, 21:39 UTC
c16edcd README: Added quickstart section For.. quickstart! 05 April 2018, 21:03 UTC
7ecb201 README: update description 05 April 2018, 20:58 UTC
d066945 README: reorganise for clarity 05 April 2018, 20:13 UTC
abfae36 README: added anaconda badge 03 April 2018, 21:05 UTC
3614856 Added conda packaging meta.yaml 03 April 2018, 21:03 UTC
09aec05 README: Using the anaconda repository 03 April 2018, 16:37 UTC
ef0b031 Made minor change to readme documentation for possible future addition of conda-forge version of tensorly. 03 April 2018, 16:37 UTC
9a89217 DOC: added fun to API 02 April 2018, 16:26 UTC
90ab945 minor update: changelog 02 April 2018, 15:51 UTC
9f87b65 setup.py: get version without importing package 02 April 2018, 15:16 UTC
9f61309 FIX: import inner in tenalg 23 March 2018, 14:12 UTC
8ffb02f Do not normalize random factors 07 March 2018, 21:26 UTC
5174531 Add missing hardware context 07 March 2018, 21:26 UTC
a5df0f4 Satisfying coveralls 07 March 2018, 21:26 UTC
fd0af7c Add `orthogonal` parameter to `random.cp_tensor` 07 March 2018, 21:26 UTC
88be626 Satisfying coveralls 07 March 2018, 21:26 UTC
553980b Add noisy tensor parafac tests 07 March 2018, 21:26 UTC
6dd3041 Refactor parafac initialization We factor out the factor initialization code from the main parafac algorithm. We do this in anticipation of upcoming changes to the main algorithm mentioned in PR #29. Otherwise, `parafac()` will be too large of a function and, therefore, difficult to debug. Added a collection of randomized parafac tests, as well. 07 March 2018, 21:26 UTC
8fe0855 Update installation.rst Clarifying python version. 04 March 2018, 16:20 UTC
49ac8cf Update README.rst Clarifying the python version. 04 March 2018, 16:19 UTC
fa4951a Add more metrics 19 February 2018, 17:55 UTC
22836e2 Pytorch backend: support for axis in mean and sum 19 February 2018, 17:55 UTC
45a15a5 Numpy backend: add sqrt 19 February 2018, 17:55 UTC
5169075 MXNET backend: support for axis in sum and mean 19 February 2018, 17:54 UTC
f41ae3b More elegent where() solution and randomized tests 03 February 2018, 18:53 UTC
1fe47a0 Combine where() tests by request 03 February 2018, 18:53 UTC
6b3a8e4 Handle case when zero_like is not available Pytorch recently added `zeros_like()` but it is not included in recent releases. Create a fallback in this case. 03 February 2018, 18:53 UTC
f8120a7 Add where() to Pytorch backend Pytorch does not seem to include the `where()` function so we implement our own. 03 February 2018, 18:53 UTC
205556a Allow optional weights input in kruskal_to_tensor In some applications it is useful to scale the factor matrices using a vector of weights. An optional argument `weights` is added to `kruskal_to_tensor`. 02 February 2018, 15:57 UTC
e7e576d Simplify qr implementation 01 February 2018, 08:48 UTC
3d83680 Fix norm(order='inf') and clean up added functions 01 February 2018, 08:48 UTC
b67463a Add prod() functions to backend 01 February 2018, 08:48 UTC
88086cb Add functionality to backend We add the QR decomposition function `qr()` to the backends as well as update `norm()` to accept different axes. 01 February 2018, 08:48 UTC
156ba08 TYPO in doc 24 January 2018, 22:43 UTC
970a340 Update tensor_decomposition.rst 24 January 2018, 22:34 UTC
3174ae9 Update tensor_decomposition.rst 24 January 2018, 22:34 UTC
3dbf6bd FIX test kronecker Account for numerical error. 24 January 2018, 22:02 UTC
da78e9e Increment version 18 December 2017, 16:57 UTC
8a35614 Tensor regression on any context 14 December 2017, 16:04 UTC
2214d9d Readme: fixed typo 13 December 2017, 14:35 UTC
c3719d1 Tucker regression: reuse input's context 13 December 2017, 14:30 UTC
fe4c2aa Kruskal regression: reuse input's context 13 December 2017, 14:28 UTC
033ed61 Reuse input tensor's context 13 December 2017, 14:26 UTC
1d25556 Reuse intput tensor's context 09 December 2017, 23:18 UTC
1720be4 Added: function to get tensor context 09 December 2017, 23:17 UTC
91105af Updated setup.py 08 December 2017, 15:12 UTC
8a6a197 Updated requirements removed MXNet (should be optional) 07 December 2017, 15:54 UTC
134bb5b DOC: minor update 03 December 2017, 15:02 UTC
dbd11fb DOC: updated dev guide 30 November 2017, 11:48 UTC
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