AMLab-Amsterdam lie_learn issues

AMLab-Amsterdam / lie_learn

Computations involving Lie groups and harmonic analysis

MIT License

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issues

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installation error, any idea?

#33 mnbe1973 closed 1 month ago
1
Add publishing pipeline

#32 SCiarella closed 1 month ago
1
Remove generated C files from the repository

#31 kalekundert closed 1 month ago
1
Support numpy>2.0

#30 kalekundert closed 3 weeks ago
1
Create ci

#29 v1kko closed 2 months ago
0
FileNotFoundError: [Errno 2] No such file or directory: J_dense_0-150.npy

#28 jumperche closed 3 weeks ago
1
pip install error with python 3.11

#27 psteinb closed 1 month ago
0
Fix the install process for pip>=23.1, python>=3.11, and/or Cython>=3.0

#26 kalekundert closed 9 months ago
5
Make `lie_learn` installable on windows

#25 colobas opened 1 year ago
0
pip install error

#24 wzm2256 opened 1 year ago
1
Changing Coordinates between Q -> MAT -> Q returns error off by a factor of -1

#23 joeybose closed 1 year ago
2
J matrices is given in J_dense_0-278.npy, more is needed.

#22 colinchang2019 closed 3 weeks ago
1
rotation convention mismatch with scipy.spatial.transform.Rotation

#21 babiking opened 2 years ago
0
[help] pip install error

#20 EricPengShuai closed 3 weeks ago
2
Failed to run tests/spectral/test_S2_conv.py

#19 0aqz0 closed 3 weeks ago
0
TypeError: unsupported operand type(s) for *: 'numpy.ndarray' and 'Tensor'

#18 WN1695173791 closed 3 weeks ago
0
Error in "pinchon_hoggan.make_c2b"

#17 Gabri95 closed 3 weeks ago
0
No module named 'lie_learn.representations.SO3.irrep_bases'

#16 Syhzs closed 3 weeks ago
7
Added explaination of how to compile to the manylinux standard.

#15 bkmi closed 4 years ago
0
create mac lie_learn bdist_wheel on pypi

#14 bkmi closed 4 years ago
1
changed version to release 0.0.1 and updated install info

#13 bkmi closed 4 years ago
2
prepare for pypi

#12 bkmi closed 4 years ago
1
tests fails when importing nfsft from pynfft

#11 mariogeiger closed 1 month ago
2
J matrices do not download with setup.py develop

#10 bkmi closed 4 years ago
2
Added source references to documentation

#9 bkmi closed 5 years ago
0
Fixed installation of requirements in setup.py

#8 pimdh closed 5 years ago
3
change factorial import to be compatible with scipy version >= 1.0

#7 blondegeek closed 5 years ago
0
Add allow_pickle=True for NumPy 1.16.3 compatibility

#6 oschuett closed 5 years ago
1
lie_learn fail to be installed in Conda with Python 3.6

#5 jiapei100 closed 5 years ago
4
installation warning

#4 blancaag closed 6 years ago
1
Can you help me download J_dense_0-278.npy file?

#3 MasonSuWei closed 6 years ago
4
Download J_dense_0-278.npy from google Drive at install

#2 mariogeiger closed 6 years ago
0
modified the setup.py so that it can be installed as a package; made …

#1 jonkhler closed 7 years ago
0