Stars
Collection of awesome medical dataset resources.
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
Sub-cellular spatial transcriptomics Cell Segmentation
SPAtial Transcriptomics resource for subCellular and High-throughput platforms
Transformer based on a variant of attention that is linear complexity in respect to sequence length
SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention
mclSTExp: Multimodal Contrastive Learning for Spatial Gene Expression Prediction Using Histology Images
✨✨The Curse of Multi-Modalities (CMM): Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio
[CVPR 2025 Highlight] The official CLIP training codebase of Inf-CL: "Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss". A super memory-efficiency CLIP training sc…
iBOT 🤖: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)
Graph-based foundation model for spatial transcriptomics data. Zero-shot spatial domain inference, batch-effect correction, and many other features.
Pytorch implemenation of FastTransformers
A pytorch &keras implementation and demo of Fastformer.
Downstream-Dino-V2: A GitHub repository featuring an easy-to-use implementation of the DINOv2 model by Facebook for downstream tasks such as Classification, Semantic Segmentation and Monocular dept…
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
PyTorch code and models for the DINOv2 self-supervised learning method.
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
Integrating histology and spatial transcriptomics - NeurIPS 2024