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airline-research

algorithms-sedgewick-wayne

Solutions to the exercises of the Algorithms book by Robert Sedgewick and Kevin Wayne

amia_workshop_2017

Datasets and code for AMIA workshop 2017

ap-gec

This project aims to see if Grammar Error Correction can be improved by using ELECTRA.

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!

bimpm

BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences

bimpm-pytorch

Re-implementation of BIMPM (Bilateral Multi-Perspective Matching for Natural Language Sentences, Zhiguo Wang et al.) on Pytorch.

clinical-abbreviations

conlleval

conlleval in Python (script for chunking/NER evaluation)

covid-dialogue

covid-faq

COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval

deep-coref

existing-medical-qa-datasets

Multimodal Question Answering in the Medical Domain: A summary of Existing Datasets and Systems

fnp2022_mnlp

glassdoor

Python API for Glassdoor.com

graph-mp

Graph-MP algorithm

heideltime

A multilingual, cross-domain temporal tagger developed at the Database Systems Research Group at Heidelberg University.

i2b2-coreference-evaluation

Coreference Evaluation for the i2b2 challenge

iccv2017_cvpr2017_butler

Download papers and other supplementals from ICCV2017/CVPR2017 in fast and wisely-organized way

install-tensorflow-on-ubuntu-17.10-

Quick install guide for Ubuntu 17.10

leakgan

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

lenet-in-tensorflow

Implementation of the LeNet-5 deep neural network model in Tensorflow

lexicalchains

lexsub

machine-learning-yearning

Translation of <Machine Learning Yearning> by Andrew NG

mantime

Cross-domain temporal information extractors: temporal expressions, events and temporal links.

maskgan

mediqa2019

Challenge on Textual Inference and Question Entailment in the Medical Domain https://sites.google.com/view/mediqa2019

medquad

Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

models

Models and examples built with TensorFlow