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Commits on Apr 3, 2026

• chore: bump version to 1.1.0 for PyPI publication

  melvinbarbaux

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• chore(deps): bump codecov/codecov-action from 5 to 6 (#51)

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• chore(deps): bump actions/configure-pages from 5 to 6 (#52)

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• chore(deps): bump actions/deploy-pages from 4 to 5 (#53)

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  dependabot[bot]

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• release: bump version to 1.1 and summarize structural cleanup (#50)

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  melvinbarbaux

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Commits on Mar 23, 2026

• chore(bench): remove orphan inductive tsvm configs and command refs (#49)

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  melvinbarbaux

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Commits on Mar 10, 2026

• fix(release): grayscale batch support (#48)

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  melvinbarbaux

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• chore(release): prepare 1.0.0 metadata and changelog (#47)

  melvinbarbaux

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• fix: correct benchmark config paths and secure cache directory structure (#46)r

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  melvinbarbaux

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Commits on Mar 1, 2026

• feat: add best benchmark configuration commands for all percentages (#45)

  melvinbarbaux

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• chore(deps): bump actions/download-artifact from 7 to 8 (#44)

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• chore(deps): bump actions/upload-artifact from 6 to 7 (#43)

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Commits on Feb 23, 2026

• refactor: centralize duplicated helpers and add mirrored tests to rea… (#42)

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  melvinbarbaux

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• chore(bench): keep minimal benchmark configs and ignore best/smoke sets (#41)

  melvinbarbaux

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• Refactor transductive method orchestration and enhance error handling (#40)

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  melvinbarbaux

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Commits on Feb 18, 2026

• test: mirror tests/ tree to src/modssc and remove non-mirrored folders (#39)

  melvinbarbaux

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• feat(evaluation): enhance device inference for torch objects in _first_torch_device and _infer_method_device (#38)

  melvinbarbaux

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Commits on Feb 17, 2026

• refactor(inductive): remove TSVM implementation and prune obsolete inductive TSVM experiments (#37)

  melvinbarbaux

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• feat(bench): add seed sweep workflow with config/schema updates and tests (#36)

  melvinbarbaux

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• feat: Added env var passthrough for dataset, preprocess, and runs cache directories in benchmarks (#35)

  melvinbarbaux

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Commits on Feb 12, 2026

• feat(configs): add best experiment YAMLs for label fractions p01/p02/p05/p10 (#34)

  melvinbarbaux

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• Fix/config hidden dim batch size (#33)

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Commits on Feb 9, 2026

• fix: align torch inputs for graph inductive runs and evaluation (#32)

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Commits on Jan 30, 2026

• fix: add graphsage activation + torch preprocess for trinet vision (#31)

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Commits on Jan 29, 2026

• fix(inductive): graph dict support + prune multiclass s4vm/tsvm configs (#30)

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  melvinbarbaux

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• fix(inductive): stabilize labels handling for graph runs (#29)

  melvinbarbaux

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• chore: remove tag triggers from workflows and update version to 0.2.1.dev0

  melvinbarbaux

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• Optimization/h100 best config (#28)

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Commits on Jan 16, 2026

• perf: enable mmap for data loader and preprocess cache (#27)

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  melvinbarbaux

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  pacocertal

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Commits on Jan 15, 2026

• Fix minor bugs and correct unexpected behavior (#25)

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  melvinbarbaux

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  pacocertal

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Commits on Jan 13, 2026

• refactor(preprocess): move graph embeddings into preprocessing and drop legacy transductive configs (#24)

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  melvinbarbaux

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Commits on Jan 12, 2026

• chore: stable transductive methods benchmark release 0.1.0 (#23)

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  melvinbarbaux

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Commits on Jan 10, 2026

• feat: add inductive methods, bench configs, and tests (#22)

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  melvinbarbaux

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Commits on Jan 8, 2026

• test(inductive): extend VAT/Noisy Student coverage and smoke readiness (#20)

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  melvinbarbaux

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• feat: add training diagnostics and label checks (#19)

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  melvinbarbaux

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