#自然语言处理#A full spaCy pipeline and models for scientific/biomedical documents.
翻译 - 科学/生物医学文献的完整空间管道和模型。
Visual Med-Alpaca is an open-source, multi-modal foundation model designed specifically for the biomedical domain, built on the LLaMa-7B.
#自然语言处理#🧫 A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)
#计算机科学#Towards Generalist Biomedical AI
For scientific volumetric data visualization in Blender.
#自然语言处理#[ICLR 2024] Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
A unifying framework for biomedical research knowledge graphs
#计算机科学#SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
#计算机科学#[CVPR 2023 (Highlight)] Offical implementation of the paper "RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction".
(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"
Full abstract relation extraction from biological texts with bi-affine relation attention networks
SCIRun is a Problem Solving Environment, for modeling, simulation and visualization of scientific problems. This is version 5, the upgraded version of SCIRun v4.
#自然语言处理#Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization
#自然语言处理#Recognize bio-medical entities from a text corpus
#计算机科学#MedType: Improving Medical Entity Linking with Semantic Type Prediction
Current Challenges and Best Practice Protocols for Microbiome Analysis using Amplicon and Metagenomic Sequencing
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
TypeDB Bio: Biomedical Knowledge Graph
Weakly supervised medical named entity classification