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gradientinstitute
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aboleth
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
Apache License 2.0
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update links from data61 to gradient in README
#211
dsteinberg
opened
3 years ago
1
Add optional application of DenseNCP layer, closes #209
#210
dsteinberg
closed
5 years ago
0
NCP needs a "pass-through" dimension argument
#209
dsteinberg
closed
5 years ago
0
Release 0.9
#208
dsteinberg
closed
5 years ago
0
Low-rank style imputation
#207
lmccalman
opened
5 years ago
0
consolidate imputation layers, closes #204
#206
dsteinberg
closed
5 years ago
0
Feature/#199
#205
dsteinberg
closed
6 years ago
1
Consolidate the imputation layers
#204
dsteinberg
closed
5 years ago
0
What is the dtype in the Dense Layers?
#203
dsteinberg
opened
6 years ago
0
Feature/#184
#202
lmccalman
closed
6 years ago
0
independent dropout, refactor out MAP, closes #198
#201
dsteinberg
closed
6 years ago
0
Implement Flipout sampling?
#200
dsteinberg
opened
6 years ago
0
Implement Noise Contrastive Priors for better uncertainty estimates
#199
dsteinberg
closed
6 years ago
0
Allow independent samples in the DropOut layer
#198
dsteinberg
closed
6 years ago
0
Feature/#196
#197
dsteinberg
closed
6 years ago
0
Improve imputation
#196
dsteinberg
closed
6 years ago
0
Implement and investigate a shared stddev posterior on weights for variational layers
#195
dsteinberg
closed
6 years ago
1
Feature/#140
#194
dsteinberg
closed
6 years ago
0
Feature/#192
#193
lmccalman
closed
6 years ago
0
Initialisation shapes are inconsistent
#192
dsteinberg
closed
6 years ago
1
implements autonorm initialization for MAP layers, closes #190
#191
dsteinberg
closed
6 years ago
0
Implement "autonorm" for MAP layers, and auto-norm dropout
#190
dsteinberg
closed
6 years ago
1
Feature/#185
#189
lmccalman
closed
6 years ago
0
Feature/#186
#188
lmccalman
closed
6 years ago
0
Change interface for variational layers
#187
lmccalman
closed
6 years ago
0
Remove interface for incremental updates
#186
lmccalman
closed
6 years ago
0
Initialize MAP weights with glorat_uniform
#185
lmccalman
closed
6 years ago
0
Investigate using custom estimators
#184
lmccalman
closed
6 years ago
0
Replace distributions.py with TensorFlow probability trainable_distributions?
#183
dsteinberg
closed
6 years ago
1
Make a VAE?
#182
dsteinberg
opened
6 years ago
2
Feature/#180
#181
dsteinberg
closed
6 years ago
0
Refactor imputation module
#180
dsteinberg
closed
6 years ago
0
Feature/#178
#179
dsteinberg
closed
6 years ago
0
Pass in likelihood as a tensor to objectives, rather than an object
#178
dsteinberg
closed
6 years ago
0
Add a simple extra category imputer
#177
lmccalman
closed
6 years ago
0
Add a categorical imputer
#176
lmccalman
closed
6 years ago
0
Feature/#173
#175
dsteinberg
closed
6 years ago
0
Turn prior variable optimisation *off* by default?
#174
dsteinberg
closed
6 years ago
0
Make sure all variables are view-able through tensorboard
#173
dsteinberg
closed
6 years ago
0
fix circleci image issue
#172
dsteinberg
closed
6 years ago
0
Make it clear python 2 is not supported
#171
lmccalman
closed
6 years ago
0
Low-rank, joint imputation layers
#170
dsteinberg
closed
6 years ago
2
Feature/#135
#169
dsteinberg
closed
6 years ago
0
Remove MAP layers where possible in favour of using Keras layers?
#168
dsteinberg
closed
6 years ago
1
Feature/#144
#167
dsteinberg
closed
6 years ago
1
update demos to use prediction module
#166
dsteinberg
closed
6 years ago
0
Feature/#164
#165
lmccalman
closed
6 years ago
0
Allow batching of model draws during predictions
#164
lmccalman
closed
6 years ago
0
added demo. probably should create a separate doc page instead of dem…
#163
ltiao
closed
6 years ago
1
Make it more obvious in the variational layers what is being optimised
#162
dsteinberg
closed
6 years ago
1
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