hanseokoh Goto Github PK

abnormal_driving_detection

Abnormal driving detection using Generative models

bertsum

Code for paper Fine-tune BERT for Extractive Summarization

blink

Entity Linker solution

complex

Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

deep-learning-from-scratch

『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)

densephrases_ctrlf

ACL'2021: Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624

devportfolio

A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass

dpr

Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

dpr_korean_ver

fake_news_detection_deeplearningbased

URP fake news detection part2 using Deep learning based model.

fake_news_detection_tna_sc

URP(Undergraduate Research Program) project - in progress

gnnpapers

Must-read papers on graph neural networks (GNN)

graphembedding

Implementation and experiments of graph embedding algorithms.

grover

Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/

hanseokoh.github.io

instructir

introduction-to-artificial-intelligence-machine-learning

korean_news_summarization

SKKU_TNT 19-2학기 co deeplearning 프로젝트.

ktrlf

Official repository for "KTRL+F: Knowledge-Augmented In-Document Search"

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp-recipes

Natural Language Processing Best Practices & Examples

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_with_pytorch

김기현의 자연어 처리 딥러닝 캠프 - 파이토치편을 위한 학습 기록용 repository

nn4nlp-code

Code Samples from Neural Networks for NLP

patentsearch

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

pointer_summarizer

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

presumm

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.