Stars
iBKH: The integrative Biomedical Knowledge Hub
This repo lists relevant papers summarized in our survey paper: A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.
CUREBench @ NeurIPS 2025: Benchmarking AI reasoning for therapeutic decision-making at scale
[CVPR2025] PyTorch-based reimplementation of CrossFlow, as proposed in 'Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution'
A beautiful, simple, clean, and responsive Jekyll theme for academics
SCassist : An AI Based Workflow Assistant for Single-Cell Analysis
Advancing Motivational Interviewing through AI-powered feedback based on MITI framework
A General-purpose High-quality Dataset for Diabetic Retinopathy Classification, Lesion Segmentation and Lesion Detection
Identifying diabetic retinopathy using convolutional neural networks
Papers and Public Datasets for Diabetic Retinopathy Detection
Official Code for Paper "GDRNet: Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains"
[Nature Reviews Bioengineering🔥] Application of Large Language Models in Medicine. A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
🏷️ Unified access to biomedical ontologies
Train your AI self, amplify you, bridge the world
Integrated Image-based Deep Learning and Language Models for Primary Diabetes Care
Pretraining infrastructure for multi-hybrid AI model architectures
Genome modeling and design across all domains of life
An evolving list of electronic media data sets used to model mental-health status.
🎓 Sharing machine learning course / lecture notes.
🟣 LLMs interview questions and answers to help you prepare for your next machine learning and data science interview in 2025.
A benchmark dataset designed to support the development and evaluation of large language models (LLMs) for conversational mental health assistance
A python client + documentation for the Colmi R02 smart ring
A benchmark dataset designed to support the development and evaluation of large language models (LLMs) for conversational mental health assistance