Name: Haoran chen
Type: User
Company: Institute of Medical Information (IMI), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC)
Bio: Institute of Medical Information (IMI), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC)
Location: Bei Jing, China
Blog: [email protected]
Haoran chen's Projects
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
AmsterdamUMCdb - Freely Accessible ICU database. Please access our Open Access manuscript at https://doi.org/10.1097/CCM.0000000000004916
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
开源社区第一个能下载、能运行的中文 LLaMA2 模型!
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
中文LLaMA-2 & Alpaca-2大模型二期项目 + 16K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs, including 16K long context models)
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Notes about courses Dive into Deep Learning by Mu Li
XLabel: An Explainable Data Labeling Assistant
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
“合肥高新杯”心电人机智能大赛 —— 心电异常事件预测 TOP1 Solution
Fit interpretable models. Explain blackbox machine learning.
Python library for audio and music analysis
Llama中文社区,最好的中文Llama大模型,完全开源可商用
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021
Ongoing research training transformer models at scale
Deprecated. For the latest MIMIC-IV code, please refer to: https://github.com/MIT-LCP/mimic-code
multi-label-classification-4-event-type
中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现)
National Institute of Health stroke scale (NIHSS) information extraction from MIMIC-III discharge summary
Interpretable convolutional neural networks on multi-omics data predict long-term survival in glioblastoma
Characteristics and waiting time prediction for patients in the pediatric emergency department
Survival analysis with PyTorch
REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction