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AMLab-Amsterdam
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lie_learn
Computations involving Lie groups and harmonic analysis
MIT License
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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