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• lstm-proj-size
• 1.1.0
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• adaptive-pooling-for-diagh
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• bce-with-logits-loss
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• convnd-extract-weight-diagonal-support-groups
• convnd-weight-jac-support-groups
• convndtranspose-extract-weight-diagonal-support-groups
• convndtranspose-weight-jac-support-groups
• crossentropy-unsupported-parameters
• curvmatprod-example-cg-newton
• curvmatprod-example-hutchinson
• deprecate-python35
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• development
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• first-order-resnets
• fix-batch-size-1-settings
• fix-example-imports
• fix-examples-website
• fix-flake8-abc
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• fix-pypi-release
• fix-pytorch-memlab
• fix-rtd-build
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• forbid-inplace
• generalize-jac-t-interface
• hbp-no-support-groups
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• improve-backpropagation-conditions
• improve-batch-axis-detection
• improve-doc-coverage
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• inconsistent-yield
• issue30
• kfac-ConvNd
• linear-support-additional-dimensions
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• martens2010estimating
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• owkin-benchmark
• padding-custom-module
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• pep8-style
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• post-extension-hook
• prepare-merge-development-into-rnn
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• prepare-release
• pytorch-1-13-support
• refactor-and-update-ggnmp
• refactor-curvmatprod
• release
• remove-detach
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• resnet-cifar10
• restructure-cmp
• retain-graph-example
• revert-save-memory
• rnn
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• rtd-logo
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• save-memory-use-case
• second-order-losses
• simplify-core-tests
• slicing-custom-module
• sqrt-ggn-batchnorm
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• sqrtggnexact-extension
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• subsampling
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• subsampling-example
• subsampling-jac-t-mat-prod
• subsampling-rnn-lstm-param-jac-t
• subsampling-sqrt-ggn
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• subsampling-weight-jac-t
• support-torch-2
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• test-coverage
• test-derivatives
• test-extensions
• test-hessian-properties
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• torch-1-12-0-compatibility
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• try-view-unnecessary-from-torch-1.4
• update-changelog
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• update-type-annotations-python-37
• use-case-batched-jacobians
• use-cases
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• use-unfoldNd-package
• writing-new-layers

Merge 4f126b094 into 5726cc1ab