Issues
- 7
about unfold
#570 opened by wll555 - 1
More descriptive message when random PARAFAC2 rank is infeasible given shape
#528 opened by Mr-Niraj-Kulkarni - 5
Spiked tensor decomposition
#557 opened by omarshehab - 7
Consistent convergence checks and options
#481 opened by aarmey - 7
Deprecating Tensorflow support?
#490 opened by cohenjer - 3
- 4
- 6
No attribute "device" when using Numpy backend
#545 opened by pfisterj - 3
Non-linear tensor decomposition
#477 opened by earmingol - 10
Better documentation of missing value imputation
#484 opened by Kiord - 8
- 9
- 5
- 3
- 1
It appears that partial_unfold works using sparse tensors, but it is not clear in the documentation
#520 opened by mdarmstr - 1
PARAFAC2 for missing data
#543 opened by cchatzis - 2
Tensorly support float16/int8
#553 opened by KaidDuong - 1
tensorly version 0.8.0 parafrac does not run on GPU with pytorch backend
#561 opened by juliadietlmeier - 1
SGD_Tukcer
#560 opened by SCIKings - 1
code problems
#558 opened by SCIKings - 2
How can I apply activation to each factor matrix?
#556 opened by SCIKings - 1
Question: CP decomposition of symmetric tensor with repeating factor matrix
#555 opened by maxscheurer - 1
Parafac\parafac2 projection
#552 opened by natank1 - 6
OOM issue
#554 opened by shuishen112 - 0
Tensor Conversion in TensorLy Does Not Preserve PyTorch Tensor dtype and device Attributes
#537 opened by braun-steven - 5
Error when running sparse Robust PCA
#499 opened by dawe - 0
Remove MXNet from doc
#547 opened by JeanKossaifi - 1
Panel Dataset Time, Company, Feature
#544 opened by firmai - 2
Error encountered when using tensorly.decomposition.parafac with high rank and GPU
#507 opened by fufeisi - 1
- 1
- 8
CP function
#470 opened by JeanKossaifi - 1
Better random init of factorized tensors
#521 opened by JeanKossaifi - 2
numpy.core._exceptions._ArrayMemoryError
#526 opened by SCIKings - 1
- 1
svd_interface will throw an error if the number of rows of the matrix is smaller than it's columns
#522 opened by hello-fri-end - 2
- 3
- 3
Init mode == "random" does not return the correct shape in initialize_tucker
#518 opened by hello-fri-end - 4
Doc and examples
#471 opened by JeanKossaifi - 4
- 2
Example data is missing
#497 opened by arokem - 5
v0.8.0 installation from pypi fails when importing tensorly but from github it doesn't
#488 opened by earmingol - 6
- 5
Import error in Ubuntu 22.04 LTS
#473 opened by grassFlamingo - 3
- 4
Fetch Kinetic dataset
#475 opened by JeanKossaifi - 4
fetch_indian_pines broken
#465 opened by JeanKossaifi - 2
Better linting in the codebase
#469 opened by JeanKossaifi - 0
Improve test_tt_TTOI test
#468 opened by JeanKossaifi