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[0.2.2] - 2026-01-27

Added

  • OpenMidnight foundation model
  • User-Agent header to download requests

[0.2.1] - 2025-11-27

Added

  • H0-mini foundation model

Changed

  • Minor change to ranking in leaderboards (same rounded performance = same rank)

Fixed

  • Updated timm version requirements to adjust to keep

[0.2.0] - 2025-11-16

Added

  • HistAI SPIDER datasets (breast, colorecal, skin, thorax)
  • Zero-shot VLM classification task
  • DINOv3, GIGAPATH, KAIKO-ViT foundation models
  • Option to benchmark a model for a task on a custom dataset
  • RandStain transformation for the transformation invariance task
  • SPIDER and zero-shot leaderboards + up-to-date rank-sum leaderboard
  • Option to divide bracs images into patches when extracting embeddings
  • Use-case examples in documentation
  • Saving a config file at the end of a benchmark run

Changed

  • Extended support to python versions >=3.10,<3.14
  • Updated dependency requirements and replaced setup.py with pyproject.toml
  • Loading all embeddings and labels as numpy arrays in dataset init for linear_probing+embedding_pre_loading

Fixed

  • Config setting for probe training with custom model
  • Hyper-parameters printing (colors and model name when custom)

[0.1.1] - 2025-09-01

Added

  • Links to leaderboard, docs, arXiv paper

Fixed

  • Download of esca, tcga_uniform and wilds datasets
  • Handling of ignored pixels in dice loss

[0.1.0] - 2025-07-10

Added