jaanli/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
PythonMIT
Issues
- 0
Dataset is lost
#31 opened by wbf1015 - 1
Follow up on why inputs must be between 0 and 1
#30 opened by garenkwan - 4
Surprising results with no convergence
#25 opened by dataislife - 1
Regarding the loss function
#28 opened by leviszhang - 2
A question regarding q_z
#27 opened by natank1 - 0
- 3
deprecation warnings for tensorflow
#23 opened by mathematicalmichael - 11
Beta lower than one
#22 opened by nitba - 2
Size of output weights file
#21 opened by unanan - 1
the expected_log_likelihood is not a expected value, but only an log likelihood
#20 opened by jiongjiongli - 2
Possible error in loss function
#19 opened by cc20002002 - 4
SystemExit
#12 opened by Alla-Abdella - 3
- 6
Why not average over batch dimension?
#16 opened by CXX1113 - 1
Interpretation of each dimension on the shape
#17 opened by CXX1113 - 10
- 0
- 3
Graphs for pyTorch version
#10 opened by TheodoreGalanos - 1
Adaptation to CNN
#11 opened by TheodoreGalanos - 0
Working version for Python 3+
#8 opened by lenhhoxung86 - 1
Reduce_sum instead of reduce_mean
#7 opened by Kh4L - 1
Error in variational-autoencoder code
#6 opened by sagar-m - 3
- 1
no attribute 'stochastic_graph'
#4 opened by parsifal9 - 1
Compatibility with TF v1.2
#3 opened by eitanrich - 1
Thanks
#1 opened by AmazaspShumik