medarc/nanopath

nanopath Pretraining tiles for nanopath, a lean experimental harness for training tile-level computational pathology foundation models, inspired by nanochat. 4 million shuffled TCGA pathology tiles, each 224 × 224 pixels. See the project README for training, data preparation, and evaluation instructions. Downstream evaluation data is available separately in nanopath-evals.

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