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admet_ai

Training and prediction scripts for Chemprop models trained on ADMET datasets

alpaca-cot

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. Meanwhile, we created a new branch to build a Tabular LLM.（我们分别统一了丰富的IFT数据（如CoT数据，目前仍不断扩充）、多种训练效率方法（如lora，p-tun

bc2gm-corpus

Work related to the BioCreative II Gene Mention corpus

bionev

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

bioprep

Dataset and fine-tuned models for Biomedical Predicate Classification with SemMedDB

bootleg

Self-Supervision for Named Entity Disambiguation at the Tail

chemdisgene

Bio relation extraction labeled dataset

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

documentsearch

基于sentence transformers和chatglm实现的文档搜索工具

ebc

A python implementation of the Ensemble Biclustering for Classification (EBC) algorithm. EBC is a co-clustering algorithm that allows you to perform co-clustering on very large, sparse, N-dimensional matrices.

efficient-globalpointer

pytorch Efficient GlobalPointer

financechatglm

SMP 2023 ChatGLM金融大模型挑战赛 60 分baseline思路介绍

graph-neural-networks-in-life-sciences

instructuie

Universal information extraction with instruction learning

label_studio_data_processor

llama-factory

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

llama_index

LlamaIndex (GPT Index) is a data framework for your LLM applications

matlab

MATLAB 2016b和2018b的安装包和密钥

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

mimic-database-burns-patients

mimic-iv

Deprecated. For the latest MIMIC-IV code, please refer to: https://github.com/MIT-LCP/mimic-code

mmdetection

OpenMMLab Detection Toolbox and Benchmark

naturalintelligenceexercise

A pre-interview exercise Natural Intelligence sent me

nlp_learning

Machine Learning for replication and extension of the work done in "Learning the Structure of Biomedical Relationships from Unstructured Text" (Percha and Altman, 2015)

parser-triples

The web contains vast repositories of unstructured text. We investigate the opportunity for building a knowledge graph from these text sources. We generate a set of triples which can be used in knowledge gathering and integration. We define the architecture of a language compiler for processing subject-predicate-object triples using the OpenNLP parser. We implement a depth-first search traversal on the POS tagged syntactic tree appending predicate and object information. A parser enables higher precision and higher recall extractions of syntactic relationships across conjunction boundaries. We are able to extract 2-2.5 times the correct extractions of ReVerb. The extractions are used in a variety of semantic web applications and question answering. We verify extraction of 50,000 triples on the ClueWeb dataset.

patentnetml

protac-invent

A deep learning framework for accurate reaction prediction and its application on high-throughput experimentation data

pubmed

download papers searched in pubmed from PMC and Sci-Hub

pubmed-downloader

Downloads the entire pubmed abstracts

pubmed_parser

:clipboard: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset