CIF Implementation #182
CIF Implementation #182
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Notebook wip
Chase-Grajeda
added
feature
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Added CIF class Reworked notebook to be a demo for CIF usage
Fixed bug where incorrect batch shape was used to sample
Finished model in cif.py. Added conditional_gaussian.py for ConditionalGaussian helper class. Removed cif.ipynb example. Added moons_cif.ipynb example.
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Hi @Chase-Grajeda, can you please fetch the newest changes into this PR and ensure that the tests run? Thanks. |
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@Chase-Grajeda Can you fetch the newest changes into this PR and ensure that everything runs? |
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Codecov ReportAttention: Patch coverage is
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## streamlined-backend #182 +/- ##
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- Coverage 56.46% 55.67% -0.80%
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Files 122 125 +3
Lines 2708 2795 +87
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+ Hits 1529 1556 +27
- Misses 1179 1239 +60 ☔ View full report in Codecov by Sentry. |
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Fetched changes, tests are now passing |
stefanradev93
merged commit 80ed60a
into
bayesflow-org:streamlined-backend
Jira BF-57
Builds the architecture described in Continuously Indexed Normalising Flows [1]
Implemented changes:
CIFclass incif.py. This is anInferenceNetworkthat utilizes ELBO as a loss function, calculated from operations performed over a bijection and two conditional distributions p and qConditionalGaussianinconditional_gaussian.py. This is a conditional gaussian distribution where the means and standard deviations are calculated via a forward pass through two respectiveMLPnetworks.examples/moons_cif.ipynbto demonstrateCIFusage with the Two Moons benchmarkCIFimport tonetworks/__init__.pyCIFimport tonetworks/cif/__init__.py