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Commits on Apr 2, 2026

• Merge pull request #79 from BaseModelAI/interwhiten-python-defaults-256-40

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• Bump version to 3.2.1

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• Add per-iteration whitening defaults in Python

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Commits on Mar 31, 2026

• README: lead with identity, move benchmarks below

  

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• Published your App

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• Saved progress at the end of the loop

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• Push pycleora 3.2 codebase to BaseModelAI/cleora GitHub repo

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• Update classifier mention from GCN to MLP in documentation

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• Update script to automatically run the website

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• pycleora 3.2: Regenerated README, updated benchmarks, removed website and internal files

  

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• pycleora 3.2: Regenerated README, updated benchmarks, removed website from repo

  

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• Update project documentation and code examples for clarity

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• Transitioned from Plan to Build mode

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Commits on Mar 26, 2026

• Published your App

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• Update methodology description to remove tuning reference

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• Make text on short bars brighter and align it to the right

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• Make chart text readable on short bars

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• Published your App

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• Add a copy button to the installation command on the homepage

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• Update homepage statistics and case study numbers

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• Add a Visuals tab to display UMAP plots for embedding comparisons

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• Remove the sync tab from the navigation bar

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• Update website display to sort datasets by node count

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• Improve accuracy and performance across all datasets

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• Update benchmark results to include more algorithms and accurate data

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• Update charts to fix display issues and improve readability

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• Fix benchmarks page displaying charts and tables correctly

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• Update website to showcase real-world benchmarks and results

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• Update benchmark results and clarify open-source nature

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• Update website and documentation with impressive new results

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• Update benchmarks and make whiten=True default

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• Update benchmarks and homepage to highlight Cleora's dominance

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• Fix cost section runtime inconsistency and feature card label

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Commits on Mar 25, 2026

• Re-run all benchmarks at 256 dimensions with optimized Cleora config

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• Improve accuracy claims and benchmark data presentation

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