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jax-moseq
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Add error message for too large latent dim
#35
calebweinreb
closed
5 months ago
0
Update debugging.py
#34
bainro
closed
7 months ago
1
Dev
#33
calebweinreb
closed
9 months ago
0
Importing `jax-moseq` produces deprecation error
#32
wingillis
opened
10 months ago
6
Robust arhmm implementation
#31
wingillis
closed
10 months ago
2
intermittent NaNs
#30
umeshksingla
opened
1 year ago
1
Pass dynamics as function
#29
calebweinreb
closed
1 year ago
0
Parallel inference with dynamax and mixed_map util
#28
calebweinreb
closed
1 year ago
0
Dynamax + bugfixes
#27
calebweinreb
closed
1 year ago
0
weird log_prob values returned by ar_log_likelihood
#26
r-shruthi11
closed
1 year ago
3
OOM while trying to allocate a (seg_len, num_segments, nlags*latent_dim, nlags*latent_dim) array
#25
r-shruthi11
closed
1 year ago
9
Freeze tf probability version to avoid syntax error with tfd.MultivariateNormalDiag
#24
r-shruthi11
closed
1 year ago
1
Lgssm dynamax parallel inference
#23
kaijfox
closed
1 year ago
0
parallel hmm sampling
#22
calebweinreb
opened
1 year ago
0
remove side effects
#21
calebweinreb
closed
1 year ago
0
debugging utils, determinism, side effect removal
#20
calebweinreb
closed
1 year ago
0
ensure discrete state dtype is int64/int32 depending on global config
#19
calebweinreb
closed
1 year ago
0
Nan-support
#18
wingillis
closed
1 year ago
0
Robust arhmm
#17
wingillis
closed
1 year ago
0
`batch` function should incorporate NaNs into mask
#16
wingillis
closed
1 year ago
0
Default to float32 precision
#15
calebweinreb
closed
1 year ago
0
Optionally disable rotation and translation
#14
calebweinreb
closed
1 year ago
0
Utf8 encoding in setup
#13
calebweinreb
closed
1 year ago
0
Caleb edits
#12
calebweinreb
closed
1 year ago
0
Robust arhmm implementation
#11
wingillis
closed
1 year ago
0
Memory optimizations for resampling AR parameters and computing AR likelihoods
#10
wingillis
closed
1 year ago
0
support both float64 and float32 dtypes
#9
wingillis
closed
1 year ago
0
TypeError: Tensor conversion requested dtype <class 'numpy.float64'> for array with dtype float32: Traced<ShapedArray(float32[5,35950,10])>with<DynamicJaxprTrace(level=2/0)>
#8
wingillis
closed
1 year ago
6
Enable parallel scan analogues of hmm and lgssm samplers
#7
ezhang94
closed
1 year ago
7
Port in `lgssm_posterior_sample` function
#6
ezhang94
closed
1 year ago
1
Port in hmm_posterior_sample function
#5
ezhang94
closed
1 year ago
0
Port in dynamax lgssm posterior sample
#4
ezhang94
closed
1 year ago
6
Port in dynamax hmm posterior inference
#3
ezhang94
closed
1 year ago
2
Restructured modeling code
#2
mo-osman
closed
1 year ago
0
Restructured modeling code
#1
mo-osman
closed
1 year ago
0