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Biological foundation modeling from molecular to genome scale
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
This rocq library aims to formalize a substantial body of mathematics using the univalent point of view.
Foundation Models for Genomics & Transcriptomics
Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena
Pathology Foundation Model - Nature Medicine
Clinical Histopathology Imaging Evaluation Foundation Model
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
Vision-Language Pathology Foundation Model - Nature Medicine
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
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Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
UCE is a zero-shot foundation model for single-cell gene expression data
Repository for Nicheformer: a foundation model for single-cell and spatial omics
🏃 The go-to single-cell Foundation Model
BulkFormer: A large-scale foundation model for human bulk transcriptomes
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer