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Neuralized K-Means #197
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Neuralized K-Means #197
Commits on Aug 17, 2023
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- documentation in numpydoc format - pylint + flake8 stuff - KMeansCanonizer - NeuralizedKMeans layer - LogMeanExpPool layer - Distance layer - Distance type
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Commits on Aug 18, 2023
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- Explaining Deep Cluster Assignments with Neuralized K-Means on Image Data - I tried to adhere to guidelines - That means: random data, random weights - Code for real data and real weights in comments - Runs on colab, did not test blender - also adds the reference to docs/source/tutorial/index.rst
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Commits on Aug 24, 2023
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Co-authored-by: Christopher <15217558+chr5tphr@users.noreply.github.com>
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change `torch.log(torch.tensor(n_dims, dtype=...))` to `math.log(n_dims)` Co-authored-by: Christopher <15217558+chr5tphr@users.noreply.github.com>
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Update src/zennit/canonizers.py
change `setattr(parent_module, ...)` to `parent_module.add_module(...)` Co-authored-by: Christopher <15217558+chr5tphr@users.noreply.github.com>
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Update src/zennit/canonizers.py
add spaces around binary operators Co-authored-by: Christopher <15217558+chr5tphr@users.noreply.github.com>
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Commits on Sep 8, 2023
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Neuralized k-means: MinPool and Backward Hooks via Conv
- rename Distance to PairwiseCentroidDistance - remove LogMeanExpPool (might become relevant again, but not for now) - add MinPool1d and MinPool2d in layer.py - add MinTakesMost1d, MaxTakesMost1d, MinTakesMost2d, MaxTakesMost2d rules - largely untested. especially kernel_size as int or kernel_size as tuple - in principle, MaxTakesMost2d should also work for MaxPoll2d layers in standard conv nets - but needs some testing - add abstract TakesMostBase class - remove type definition for Distance in types.py - adapt KMeans canonizer: - replace LogMeanExpPool with MinPool1d followed by torch.nn.Flatten - remove beta parameter; beta is now sit in MinTakesMost1d - remove deepcopy and simply return the module itself - update docs/src/tutorials/deep_kmeans.ipynb - doc strings
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Merge branch 'master' of github.com:jackmcrider/zennit
- merge changes coming from github web interface
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Commits on Nov 10, 2023
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