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The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)
A customizable pipeline for data extraction from MIMIC-IV; now multimodal!
Python package built to ease deep learning on graph, on top of existing DL frameworks.
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
DescEmb - Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding
Software to implement GoT with a weviate vectorized database
The official GitHub page for the survey paper "A Survey of Large Language Models".
[ICLR'24] Enhancing Healthcare Predictions with Personalized Knowledge Graphs
This is the official code for paper: [PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs]
Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
The official codes for "PMC-LLaMA: Towards Building Open-source Language Models for Medicine"
Precision Medicine Knowledge Graph (PrimeKG)
PheKnowLator: Heterogeneous Biomedical Knowledge Graphs and Benchmarks Constructed Under Alternative Semantic Models
A curated list of awesome healthcare taxonomies and knowledge graphs.
Almanac: Retrieval-Augmented Language Models for Clinical Medicine
Med-BERT, contextualized embedding model for structured EHR data
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
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…
[JMIR Medical Informatics] Automatic Rare Disease Knowledge Graph Construction
UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge