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Stars
Python package built to ease deep learning on graph, on top of existing DL frameworks.
The official GitHub page for the survey paper "A Survey of Large Language Models".
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
Chinese medical dialogue data 中文医疗对话数据集
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.
Software to implement GoT with a weviate vectorized database
The official codes for "PMC-LLaMA: Towards Building Open-source Language Models for Medicine"
PheKnowLator: Heterogeneous Biomedical Knowledge Graphs and Benchmarks Constructed Under Alternative Semantic Models
[ICLR'24] Enhancing Healthcare Predictions with Personalized Knowledge Graphs
Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
GAMENet : Graph Augmented MEmory Networks for Recommending Medication Combination
Pre-training of Graph Augmented Transformers for Medication Recommendation
MedType: Improving Medical Entity Linking with Semantic Type Prediction
STAGIN: Spatio-Temporal Attention Graph Isomorphism Network
Code for CVPR 2022 paper “Class-Aware Contrastive Semi-Supervised Learning”
Exploring the potential of fine-tuning Large Language Models (LLMs) like Llama2 and StableLM for medical entity extraction. This project focuses on adapting these models using PEFT, Adapter V2, and…
Almanac: Retrieval-Augmented Language Models for Clinical Medicine
This is the official code for paper: [PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs]
DescEmb - Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding