Yujing Zou's repositories
MedLlama-QA-Advanced-Medical-Question-Answering-with-Llama-2-7b-and-RAG
Utilizing Llama-2-7b and RAG, this medical QA system ensures precise, contextually accurate answers. With advanced embeddings and a robust tech stack, MedLlama-QA achieves superior accuracy, reducing hallucinations and outperforming standard language models.
auton-survival
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
Awesome-Medical-Dataset
Collection of awesome medical dataset resources.
Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
awesome-self-supervised-learning-for-tabular-data
A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
chromark
Code for the manuscript: "Single-cell imaging-AI based chromatin biomarkers for diagnosis and therapy evaluation in tumor patients using liquid biopsies". Code was developed by Daniel Paysan
dysts_ML_chaos_predictor
More than a hundred strange attractors
faiss
A library for efficient similarity search and clustering of dense vectors.
foundation-cancer-image-biomarker
Code and evaluation repository for the paper
HECTOR
Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.
langgraph
Build resilient language agents as graphs.
luna
Scripts for data processing
M3L
Official repository for "Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation"
MedSAM
The official repository for MedSAM: Segment Anything in Medical Images.
MedSAMSlicer
3D Slicer Plugin for Segment anything in medical images
MICCAI_MultimodalTransformerPathOmics
[MICCAI 2023] The official code of "Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction" (Accepted to MICCAI2023, , top14%)
Multimodal-CustOmics
Multimodal CustOmics: A Unified and Interpretable Multi-Task Deep Learning Framework for Multimodal Integrative Data Analysis in Oncology
ollama-python
Ollama Python library
penzai
A JAX research toolkit for building, editing, and visualizing neural networks.
plip
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI. 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.
prov-gigapath
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
pycox
Survival analysis with PyTorch
pysurvival
Open source package for Survival Analysis modeling
SurvLIMEpy
Local interpretability for survival models
survshap
SurvSHAP(t): Time-dependent explanations of machine learning survival models