NLM/NCBI BioNLP Research Group (PI: Zhiyong Lu)'s repositories
BioSentVec
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
BLUE_Benchmark
BLUE benchmark consists of five different biomedicine text-mining tasks with ten corpora.
DeepSeeNet
:eyes: DeepSeeNet is a deep learning framework for classifying patient-based age-related macular degeneration severity in retinal color fundus photographs.
PhenoTagger
PhenoTagger
PubMed-Best-Match
Machine-learning based pipeline relying on LambdaMART currently used in PubMed for relevance (Best Match) searches
ML_Net
ML-Net is a novel end-to-end deep learning framework for multi-label classification of biomedical tasks. ML-Net combines the label prediction network with a label count prediction network, which can determine the output labels based on both label confidence scores and document context in an end-to-end manner.
COVID-19-CT-CXR
COVID-19-CT-CXR, a public database of COVID-19 CXR and CT images
MedCalc-Bench
Benchmarking the medical calculation capabilities of large language models.
NCBITextLib
Software library for building a large-scale data infrastructure for text mining