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Models macOS Py3.11
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version bump: speed+memory optimisations for feature selection and ma…
Models macOS Py3.13
#35:
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reduce memory in Captum attribution loop for all remaining models
Models macOS Py3.13
#34:
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move attributions to cpu after each batch to avoid memory consumption
Models macOS Py3.13
#33:
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revert capping to 10K
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#32:
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fix error with np import for captum downsampling
Models macOS Py3.13
#31:
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speed up laplacian scoring
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#30:
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cap number of samples for laplacian scoring to 10K
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#29:
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version bump: do fine tuning on GPU and save finetuned models to disk
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#28:
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run finetuning on GPU and save finetuned model to disk
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version bump
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#26:
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enable fine tuning on any model whether in train or inference mode
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version bump
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#24:
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Merge pull request #146 from amitpande74/feat/hdf5-dataloader
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add workflow test for HDF5 support
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feat: HDF5-backed dataloader for memory-efficient large-scale training
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#21:
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14m 52s
amitpande74:feat/hdf5-dataloader
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remove GAT from docstrings; not supported for static graphs.
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add GAT to CLI
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#19:
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nilchia:update_GNN
nilchia:update_GNN
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feat: HDF5-backed dataloader for memory-efficient large-scale training
Models macOS Py3.13
#18:
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amitpande74:feat/hdf5-dataloader
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feat: HDF5-backed dataloader for memory-efficient large-scale training
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#17:
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amitpande74:feat/hdf5-dataloader
amitpande74:feat/hdf5-dataloader
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feat: HDF5-backed dataloader for memory-efficient large-scale training
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#16:
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amitpande74:feat/hdf5-dataloader
amitpande74:feat/hdf5-dataloader
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feat: HDF5-backed dataloader for memory-efficient large-scale training
Models macOS Py3.13
#15:
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amitpande74:feat/hdf5-dataloader
amitpande74:feat/hdf5-dataloader
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fix linting error with plotnine imports
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#14:
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use survival curve colors in increasing order of risk
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#13:
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Merge pull request #143 from nilchia/lint_py
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#12:
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7m 24s
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fix flake8 linting errors and add lint check in CI
Models macOS Py3.13
#11:
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15m 1s
nilchia:lint_py
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