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100 Commits

Author SHA1 Message Date
Jensun Ravichandran
5ec2dd47cd Remove unused import 2021-06-01 23:40:56 +02:00
Jensun Ravichandran
e8cd4d765c Remove unused variable 2021-06-01 23:39:39 +02:00
Jensun Ravichandran
8403b01081 Move CELVQ to probabilistic.py 2021-06-01 23:39:06 +02:00
Jensun Ravichandran
aff6aedd60 Use the add_components API for adding prototypes 2021-06-01 23:37:45 +02:00
Jensun Ravichandran
1b6843dbbb Remove unused imports 2021-06-01 19:31:03 +02:00
Jensun Ravichandran
21023a88d7 [BUGFIX] Fix RSLVQ 2021-06-01 17:44:10 +02:00
Alexander Engelsberger
9c1a41997b [FEATURE] Add Growing Neural Gas 2021-06-01 17:19:43 +02:00
Jensun Ravichandran
1636c84778 Rename rslvq example 2021-05-31 17:56:45 +02:00
Jensun Ravichandran
27eccf44d4 Use LambdaLayer from ProtoTorch 2021-05-31 16:53:04 +02:00
Alexander Engelsberger
2a218c0ede Add example for dynamic components in callbacks 2021-05-31 11:39:24 +02:00
Alexander Engelsberger
db064b5af1 Improvement of model __repr__ 2021-05-31 11:19:06 +02:00
Alexander Engelsberger
0ac4ced85d [refactor] Use functional variant of accuracy 
Prevents Accuracy in `__repr__` of the models.
 2021-05-31 11:12:27 +02:00
Jensun Ravichandran
7b7bc3693d Merge branch 'dev' of github.com:si-cim/prototorch_models into dev 2021-05-31 00:32:49 +02:00
Jensun Ravichandran
cd73f6c427 Add examples/dynamic_components.py 2021-05-31 00:32:27 +02:00
Alexander Engelsberger
a60337ff27 [refactor] Move probabilistic to Prototorch 2021-05-28 20:39:32 +02:00
Alexander Engelsberger
e3392ee952 [refactor] DRY Probabilistic models 2021-05-28 17:13:06 +02:00
Alexander Engelsberger
dade502686 Add MNIST datamodule and training mixin factory. 2021-05-28 16:33:31 +02:00
Jensun Ravichandran
b7edee02c3 [WIP] Add CELVQ 
TODO Ensure that the distances/probs corresponding to the plabels are sorted
like the target labels.
 2021-05-27 17:40:16 +02:00
Alexander Engelsberger
66e3e51a52 Add references to the documentation. 2021-05-26 21:20:17 +02:00
Jensun Ravichandran
d411e52be4 Refactor non-gradient-lvq models into lvq.py 2021-05-25 20:37:34 +02:00
Alexander Engelsberger
32d6f95db0 Add RSLVQ and LikelihoodLVQ 2021-05-25 20:26:15 +02:00
Jensun Ravichandran
139109804f [BUGFIX] Use _forward in LVQ1 and LVQ21 2021-05-25 17:43:37 +02:00
Alexander Engelsberger
72e064338c Use 'num_' in all variable names 2021-05-25 15:41:10 +02:00
Alexander Engelsberger
8ce18f83ce Add prototype_initializer function to GLVQ 
This allows overwriting it inside subclasses.
 2021-05-21 17:13:10 +02:00
Alexander Engelsberger
7b4f7d84e0 Update Documentation 
Clean up project
 2021-05-21 15:42:45 +02:00
Jensun Ravichandran
a5e086ce0d Refactor code 2021-05-21 13:33:57 +02:00
Jensun Ravichandran
0611f81aba Update models namespace 2021-05-21 13:11:59 +02:00
Jensun Ravichandran
a9382dcd9b Add get_prototype_grid method 2021-05-21 13:11:48 +02:00
Jensun Ravichandran
0933a88a1b Fix ImageCBC bug 2021-05-21 13:11:36 +02:00
Jensun Ravichandran
88a34a06ef [WIP] Update CBC implementation to use SiameseGLVQ 2021-05-20 17:36:00 +02:00
Jensun Ravichandran
de63eaf15a Fix numpy issue in vis.py 2021-05-20 17:33:19 +02:00
Jensun Ravichandran
16dc3cf4eb Update image visualization 2021-05-20 16:07:16 +02:00
Jensun Ravichandran
df061cc2ff Refactor code 2021-05-20 14:40:02 +02:00
Alexander Engelsberger
969fb34cc3 Accumulate test loss 2021-05-20 14:20:23 +02:00
Alexander Engelsberger
0204f5eab6 Log test accuracy. 2021-05-20 14:03:31 +02:00
Alexander Engelsberger
b7fc5df386 Log test loss. 2021-05-20 13:47:20 +02:00
Alexander Engelsberger
faf1a88f99 [Bugfix] Remove optimzer_idx from validation and test. 2021-05-20 13:17:27 +02:00
Jensun Ravichandran
5ffbd43a7c Refactor into shared_step 2021-05-19 16:57:51 +02:00
Jensun Ravichandran
fdf9443a2c Add validation and test logic 2021-05-19 16:30:19 +02:00
Jensun Ravichandran
eefec19c9b Custom non-gradient training 2021-05-18 19:49:16 +02:00
Jensun Ravichandran
4957e821f6 Close matplotlib figure on train end 2021-05-18 10:13:22 +02:00
Jensun Ravichandran
81346785bd Cleanup models 
Siamese architectures no longer accept a `backbone_module`. They have to be
initialized with an pre-initialized backbone object instead. This is so that the
visualization callbacks could use the very same object for visualization
purposes. Also, there's no longer a dependent copy of the backbone. It is
managed simply with `requires_grad` instead.
 2021-05-17 17:00:23 +02:00
Jensun Ravichandran
7a87636ad7 Update KNN 2021-05-17 16:59:35 +02:00
Jensun Ravichandran
77b7b59bad Clean visualization callbacks 2021-05-17 16:59:22 +02:00
Jensun Ravichandran
6e7d80be88 [BUGFIX] Fix siamese visualization callback 2021-05-15 12:52:44 +02:00
Jensun Ravichandran
b7684ae512 predict_latent no longer returns numpy 2021-05-15 12:52:16 +02:00
Alexander Engelsberger
0eac2ce326 Examples use GPUs if available. 2021-05-13 15:22:01 +02:00
Jensun Ravichandran
8f9c29bd2b [BUGFIX] Remove incorrect import statement 2021-05-12 16:45:01 +02:00
Jensun Ravichandran
ca39aa00d5 Stop passing component initializers as hparams 
Pass the component initializer as an hparam slows down the script very much. The
API has now been changed to pass it as a kwarg to the models instead.

The example scripts have also been updated to reflect the new changes.

Also, ImageGMLVQ and an example script `gmlvq_mnist.py` that uses it have also
been added.
 2021-05-12 16:36:22 +02:00
Alexander Engelsberger
1498c4bde5 Bump version: 0.1.6 → 0.1.7 2021-05-11 17:18:29 +02:00