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thunder

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software/thunder

[NeurIPS25 D&B Spotlight] A tile-level histopathology image understanding benchmark

Machine-generated from the listed sources and not yet reviewed by a human.

thunder project image
GitHub preview card for MICS-Lab/thunder. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
CC-BY-4.0(cc)
Status
active
Maturity
deployed
Organization
MICS-Lab
Country
unknown
Homepage
mics-lab.github.io/thunder/
Repository
github.com/MICS-Lab/thunder
Documentation
unknown
Tags
benchmark · deep-learning · digital-pathology · foundation-models · histopathology
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • gigapixel-goblinbenchmark · digital-pathology · histopathology

    GIANT-style WSI navigation env plus MultiPathQA eval runner. Plug in any VLM, zoom with bboxes, log trajectories, and score accuracy.

  • DeepSpotdigital-pathology · foundation-models · histopathology

    DeepSpot: Deep learning model for predicting spatial transcriptomics from H&E histopathology images. Supports spot-level (Visium) and single-cell (Xenium) resolution.

  • raw2featuresdigital-pathology · foundation-models · histopathology

    OME-Zarr whole-slide images to patch- and slide-level foundation-model embeddings - cloud-native, FAIR, model- and backend-agnostic.

  • GENEBbenchmark · foundation-models

    GENEB: ICML 2026 benchmark for genomic foundation models across 100 tasks and 13 functional categories.

  • histoboardbenchmark · foundation-models

    Pathology FM dashboard centralizing literature and official benchmarks.

  • Large-Scale-Medicalbenchmark · foundation-models

    [TPAMI 2026] Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

sources
  1. api.github.com/repos/MICS-Lab/thunder
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-06-08, 50 stars, license reported as CC-BY-4.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/17.json→ .entries["thunder"]

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