Junxian He (jxhe)

jxhe

Geek Repo

Company:The Hong Kong University of Science and Technology

Home Page:jxhe.github.io

Twitter:@junxian_he

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Junxian He's repositories

unify-parameter-efficient-tuning

Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)

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vae-lagging-encoder

PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

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efficient-knnlm

Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)

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struct-learning-with-flow

PyTorch Implementation of "Unsupervised Learning of Syntactic Structure with Invertible Neural Projections" (EMNLP 2018)

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self-training-text-generation

Implementation of ICLR 2020 paper "Revisiting Self-Training for Neural Sequence Generation"

bib-journal-abbreviation

This is a lightweight python script to abbreviate the journal names in your latex bib file.

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cross-lingual-struct-flow

PyTorch implementation of ACL paper https://arxiv.org/abs/1906.02656

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sparse-text-prototype

PyTorch Implementation of NeurIPS 2020 paper "Learning Sparse Prototypes for Text Generation"

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MHT

This is a generative Model for Heterogeneous Topic web (MHT), which can assist text exploration.

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CSLabInfo2022

关于2022年CS保研实验室/导师招生广告的汇总。欢迎想要打广告的小伙伴积极pr,资瓷一下互联网精神吼不吼啊?

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CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

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fairseq

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

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jxhe.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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NAMAS

Neural Attention Model for Abstractive Summarization

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state-spaces

Sequence Modeling with Structured State Spaces

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SurviveSJTUManual

旨在更新2008年版本的《上海交通大学生存手册》并制作成gitbook发布于https://liankeqin.gitbook.io/survivesjtumanual/

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texar

Toolkit for Text Generation and Beyond

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transformers

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

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UnsupervisedMT

Phrase-Based & Neural Unsupervised Machine Translation

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