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jinfengr's Projects

anserini icon anserini

A Lucene toolkit for replicable information retrieval research

apollo-11 icon apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

bi-att-flow icon bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

bidaf icon bidaf

Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi https://arxiv.org/abs/1611.01603

cloud9 icon cloud9

Cloud9 is a Hadoop toolkit for working with big data

deep-qa icon deep-qa

Implementation of the Convolution Neural Network for factoid QA on the answer sentence selection task

electronic-wechat icon electronic-wechat

:shipit: A better WeChat on Mac OS X and Linux. Fewer bugs, more features. Build with Electron.

fly_us icon fly_us

美国大学备考资料 How to apply US colleges

gdown.pl icon gdown.pl

Google Drive direct download of big files

gnuplot icon gnuplot

Unofficial mirror of gnuplot's CVS repository. It should be unmodified source, but this copy has been created with buggy "git cvsimport" and has serious issues, you at your own risk

hcan icon hcan

EMNLP'19: Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling

interview_internal_reference icon interview_internal_reference

2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。

joint-nlu-nlg icon joint-nlu-nlg

The source code of the paper "A Generative Model for Joint Natural Language Understanding and Generation" published at ACL 2020.

keras-adda icon keras-adda

This is an implementation of Adversarial Discriminative Domain Adaptation using Keras for the purpose of visualizing the intermediate activations in a variational approximation of total correlation.

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