howardhsu

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Facebook AI Research

Seattle, WA

https://www.cs.uic.edu/~hxu/

Hu Xu's repositories

BERT-for-RRC-ABSA

code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

Language:PythonApache-2.0454 15 28

DE-CNN

Code for ACL 2018 paper "Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction"

Language:PythonMIT147 7 19

Meta-Open-World-Learning

code for our WWW 2019 paper: "Open-world Learning and Application to Product Classification"

Language:PythonMIT37 3 1

ABSA_preprocessing

A simple library to preprocess ABSA related tasks from SemEval

Language:PythonMIT27 20

L-DEM

code for our IJCAI 2018 paper : "Lifelong Domain Word Embedding via Meta-Learning"

Language:CMIT11 30

ASC_failure

code for the paper about the failure of ASC

Language:PythonMIT9 20

Amazon-Review-Embedding

Pre-trained Amazon Reviews Embeddings

4 10

RCRC

code for our paper "Review Conversational Reading Comprehension"

Language:PythonApache-2.04 20

ABSA-on-Complementary-Entity-for-QA-and-Review

Complementary Entity Recognition

3 10

Dissertation

My Ph.D. dissertation, with source latex in github, wow.

Language:TeXMIT3 10

article

My Research Articles: visit from https://howardhsu.github.io/article/

Language:HTML1 10

Adv360-Pro-ZMK

Production repository for the all-new Advantage360 Professional using ZMK engine

Language:ShellMIT000

CppCoreGuidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

Language:PythonNOASSERTION000

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Language:PythonMIT010

howardhsu.github.io

Mirror of Homepage: https://howardhsu.github.io

Language:HTML010

howto100m

Code for the HowTo100M paper

Language:PythonApache-2.0000

LocalizingMoments

Github for my ICCV 2017 paper: "Localizing Moments in Video with Natural Language"

Language:OpenEdge ABL000

MIL-NCE_HowTo100M

PyTorch GPU distributed training code for MIL-NCE HowTo100M

Apache-2.0000

mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Language:PythonNOASSERTION000

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.

Language:PythonMIT010

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

Language:PythonApache-2.0010

TVQA

[EMNLP 2018] PyTorch code for TVQA: Localized, Compositional Video Question Answering

Language:PythonMIT000

vilbert-multi-task

Multi Task Vision and Language

Language:Jupyter NotebookMIT000