https://github.com/tensorly/tensorly

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Revision Author Date Message Commit Date
247917c TYPO 23 December 2018, 23:37 UTC
f04806e MXNET: fix reshape with empty shape 23 December 2018, 23:32 UTC
05b6b2f Adds tensor contraction 23 December 2018, 23:13 UTC
3a35360 DOC FIX: home page user_guide link 26 November 2018, 16:25 UTC
ec8add1 Random: deprecate old functions 29 October 2018, 14:45 UTC
841e7e6 DOC: update random module API 29 October 2018, 14:30 UTC
e782136 Refactored random module 29 October 2018, 14:29 UTC
c5cef8e Sanity checks on rank for MPS 29 October 2018, 14:28 UTC
54297a3 FIX: use tl.ones not np. 28 October 2018, 21:00 UTC
8104e06 FIX: (multi_)mode_dot with vector 28 October 2018, 20:53 UTC
9badf5d Do not set global random seed 28 October 2018, 18:11 UTC
d4b1854 DOC: add contrib to API 28 October 2018, 18:02 UTC
f15cf2e Contrib: add decomposition submodule 28 October 2018, 18:02 UTC
d82e08b Merge pull request #73 from wumming/TTcross Cross-approx algorithm for MSP/tensor-train decomposition 28 October 2018, 14:21 UTC
a7971af Typos 27 October 2018, 19:47 UTC
cd25045 Updated guide 27 October 2018, 19:46 UTC
c8095a4 Removed un-necessary import 27 October 2018, 17:13 UTC
3ff301c Edit AUTHORS list 08 October 2018, 12:27 UTC
6f85b26 move check_random_state(1) 21 September 2018, 17:16 UTC
5ef625f Specify SVD fun for tucker 21 September 2018, 11:08 UTC
e22fa80 delete hard coded dtype. 19 September 2018, 17:49 UTC
fa50f7a Merge branch 'master' into TTcross 19 September 2018, 17:46 UTC
47b57dd Merge branch 'TTcross' of https://github.com/wumming/tensorly into TTcross 19 September 2018, 17:37 UTC
0c33fc0 modify pytorch's tl.tensor(). delete int()/tensor_as_indices() 19 September 2018, 17:33 UTC
4e9ed27 change int() to tensor_as_indices() and minor changes 19 September 2018, 17:33 UTC
463b553 use solve instead of inverse, delete npr.seed() 19 September 2018, 17:33 UTC
975c84b Fix bugs for MxNet 1. wrapper Numpy's inverse for MxNet. 2. MxNet is not robust when vector has size 1. Add a base case for it. 3. MxNet is not robust for a/b. transpose b so that a and b are in the same shape. 19 September 2018, 17:33 UTC
f0cdb8e candecomp_parafac.py should be in tensorly/decomposition instead of tensorly/contrib 19 September 2018, 17:33 UTC
2162dda add back candecomp_parafac.py from master 19 September 2018, 17:33 UTC
e918a01 delete candecomp I didn't change candecomp. Only modified mps_cross 19 September 2018, 17:33 UTC
c0e6781 Import dtypes 19 September 2018, 17:06 UTC
87e50c8 pytorch backend: don't force default dtype 19 September 2018, 16:22 UTC
0e08f2b modify pytorch's tl.tensor(). delete int()/tensor_as_indices() 19 September 2018, 16:12 UTC
910a1c2 change int() to tensor_as_indices() and minor changes 19 September 2018, 07:10 UTC
f08b657 use solve instead of inverse, delete npr.seed() 14 September 2018, 18:15 UTC
6be1f6d Fix bugs for MxNet 1. wrapper Numpy's inverse for MxNet. 2. MxNet is not robust when vector has size 1. Add a base case for it. 3. MxNet is not robust for a/b. transpose b so that a and b are in the same shape. 08 September 2018, 21:28 UTC
4c4b32e candecomp_parafac.py should be in tensorly/decomposition instead of tensorly/contrib 03 September 2018, 21:31 UTC
bd9e00d add back candecomp_parafac.py from master 03 September 2018, 21:27 UTC
5f1dae9 delete candecomp I didn't change candecomp. Only modified mps_cross 03 September 2018, 03:57 UTC
5206d0d Merge branch 'tensorly-master' into TTcross Resolve the conflicts on pytorch and tensorflow backends. 03 September 2018, 03:39 UTC
3db755b Resolved merge conflict by incorporating both suggestions. 03 September 2018, 03:36 UTC
3cce636 clear STT 30 August 2018, 20:45 UTC
5157ba9 delete STT 30 August 2018, 20:43 UTC
4f73baf merge2 30 August 2018, 20:15 UTC
e09b6e7 FIX: properly use svd fun provided 30 August 2018, 10:21 UTC
4737451 CPD: add svd parameter (default to 'numpy_svd') 30 August 2018, 10:10 UTC
3448786 merge 30 August 2018, 06:40 UTC
4fe5366 Merge pull request #70 from eriche7133/patch-1 FIX: init uses `==` instead `is` to check for init options 29 August 2018, 14:58 UTC
808daad Update candecomp_parafac.py Changed "is" to "==" for comparing strings in the initialize_factors function. 29 August 2018, 14:23 UTC
f1e7e39 Doc for tensor-train decomposition 21 August 2018, 23:54 UTC
f28fd20 ENH: adds several options to compute truncated SVD 16 August 2018, 18:39 UTC
5551175 Update Makefile 16 August 2018, 18:39 UTC
4d24972 FIX/pytorch: to_numpy detaches variables if needed 14 August 2018, 11:35 UTC
c7b16c8 greedy maxvol 14 August 2018, 07:52 UTC
b8c1d15 np.random -> randomState 12 August 2018, 03:39 UTC
f97a04b wordings 09 August 2018, 18:14 UTC
695bb8c advantages and disadvantages 09 August 2018, 18:12 UTC
3d39041 Don't specify default dtype for numpy backend So as not to override passed array's existing dtype by default (type cast only if dtype is specified) 08 August 2018, 20:31 UTC
a29ffb8 tensorly standard 07 August 2018, 23:11 UTC
0022c2b clear the code 07 August 2018, 00:21 UTC
2d205e6 comment out tf 06 August 2018, 15:16 UTC
1b05564 Mxnet works 05 August 2018, 22:44 UTC
ebea465 tests 27 July 2018, 23:56 UTC
0f2e8e5 TTcross for numpy and pytorch 26 July 2018, 09:25 UTC
6649dfc Update quickstart.rst 11 July 2018, 10:40 UTC
0adc913 DOC: add MPS/TTrain 05 July 2018, 10:07 UTC
3dba905 Optimisations and cleanup 05 July 2018, 10:07 UTC
8cabcfb Update mps_tensor.py 05 July 2018, 10:07 UTC
e8396ae Update test_mps_tensor.py 05 July 2018, 10:07 UTC
5bf5faa Moved test_mps_decomposition to correct tests folder 05 July 2018, 10:07 UTC
40db493 Added mps_tensor, mps_decomposition and their tests 05 July 2018, 10:07 UTC
0802167 Update candecomp_parafac.py 04 July 2018, 09:37 UTC
d93d280 MAINT: update __init__.py 16 June 2018, 20:25 UTC
b2874c5 FIX: partial_svd when n_eigenvecs is None 08 June 2018, 10:24 UTC
8d876cf Add contrib submodule 05 June 2018, 13:50 UTC
f74e403 Bump up version 04 June 2018, 09:09 UTC
340d83f Merge branch 'master' of https://github.com/tensorly/tensorly 01 June 2018, 14:37 UTC
b93d017 random tensors: add orthogonal parameter 01 June 2018, 14:33 UTC
f8782f6 Adds orthogonalise parameter for CP decomposition 01 June 2018, 14:28 UTC
05efae2 RCP: tests 31 May 2018, 22:49 UTC
b07ca26 randomised CP: make max_stagnation optional If tol=0 and max_stagnation=0, don't compute rec error 31 May 2018, 22:10 UTC
33f1200 FIX: preserve tensor context 31 May 2018, 16:56 UTC
9e6d89a DOC: added randomised CP to API 31 May 2018, 10:01 UTC
4f30689 Merge pull request #53 from SamJohannes/randomised-cp Adds randomised cp via sampled ALS 31 May 2018, 09:29 UTC
809da07 Re-added the max_stagnation convergence check to r-parafac 30 May 2018, 22:16 UTC
34c3178 FIX: test_randomized_cp: rank of source tensor 30 May 2018, 16:29 UTC
3b72820 Refactored randomised_cp Mainly: - sample only needed elements from the tensor rather than unfold + select - rename with better names - avoid conversion to and from numpy - add convergence test 30 May 2018, 16:23 UTC
0202177 Removed obselete variables from random-cp 16 May 2018, 22:46 UTC
fb0b390 Changed the min/max for arrays in testing 15 May 2018, 07:08 UTC
f32784a Merge branch 'randomised-cp' of https://github.com/SamJohannes/tensorly into randomised-cp 15 May 2018, 06:37 UTC
05bbc23 Made tests multi-backend compatible 15 May 2018, 06:33 UTC
3fba4e1 Made tests multi-backend compatible 15 May 2018, 06:22 UTC
dcf04af Merge branch 'master' into randomised-cp 15 May 2018, 06:06 UTC
55f2086 Cleaned up backend utilisation for randomised parafac 15 May 2018, 06:02 UTC
15beeef Removed debugging statements 14 May 2018, 03:32 UTC
56826f0 include license in wheels 11 May 2018, 10:22 UTC
af0700a Backend, partial_svd: full_matrices=false when sensible 10 May 2018, 16:00 UTC
9cc2280 CI: install pytorch for cpu only 09 May 2018, 16:28 UTC
07d3dbb DOC: citation + pytorch 0.4.0+ 09 May 2018, 16:15 UTC
1295ccb FIX README + bump version 08 May 2018, 22:15 UTC
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