acadTags

open-llms

📋 A list of open LLMs available for commercial use.

llms-vote

Code for the Paper "Large Language Models Vote: Prompting for Rare Disease Identification"

HierarchyTransformers

Language Models as Hierarchy Encoders.

OAEI-Bio-ML

Dataset pointer and evaluation protocol for the Bio-ML Track of the OAEI.

hetionet

Hetionet: an integrative network of disease

NILK

Сode for creation of NILK dataset

llama2.c

Inference Llama 2 in one file of pure C

medical-coding-reproducibility

bert_subsumption

Subsumption prediction on e-commerce taxonomies

MOSS

An open-source tool-augmented conversational language model from Fudan University

disorder-normalizer

A system for normalizing disorder mentions in biomedical data.

Knowledge-Graph-Tutorials-and-Papers

Insightful Tutorials and Papers about Knowledge Graphs

MARN

Code Repository for the ACM TIST 2022 "Multitask Balanced and Recalibrated Network for Medical Code Prediction"

medtype

MedType: Improving Medical Entity Linking with Semantic Type Prediction

BioSentVec

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Biomedical-Entity-Linking

A Keras implementation of the AAAI21 paper "a lightweight neural model for biomedical entity linking"

snomed-owl-toolkit

The official SNOMED CT OWL Toolkit. OWL conversion, classification and authoring support.

pubtator_loader

A Python 🐍 package to load PubTator Documents 🧾, tokenize and convert them to BILUO Format.

BIG-bench

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

sapbert

[NAACL'21 & ACL'21] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.

research-ms-loss

MS-Loss: Multi-Similarity Loss for Deep Metric Learning

rescnn_bioel

MASK_public

Masking identifiable information from health related documents.

symbolic-knowledge-distillation

turingadvice

Evaluating Machines by their Real-World Language Use

OpenPrompt

An Open-Source Framework for Prompt-Learning.

awesome-emergent-languages

Paper Reading in Neural Emergent Communication Literature

KenMeSH

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)