yyh1999z

yyh1999z's Stars

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

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• hongleizhang/RSPapers

  RSTutorials: A Curated List of Must-read Papers on Recommender System.

  6.3k33441.4k

• Julie-Wang/jackfrued-Python-100-Days

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• ncdhz/Yolo-LibTorch

  一个 LibTorch 版本的 Yolo 封装库

  Language:C++19152756

• sisinflab/adversarial-recommender-systems-survey

  The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.

  15812032

• lxing532/Dialogue-Topic-Segmenter

  Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring

  Language:Python604810

• EducationalTestingService/CATS

  Coherence-Aware Text Segmentation tool, used to perform text segmentation.

  Language:Python29614

• lxing532/improve_topic_seg

  Language:Python18263

• intfloat/uts

  python package for unsupervised text segmentation.

  Language:Python14104

• ncdhz/fishing-game

  这是我大二开发的一个基于libGDX的打鱼游戏

  Language:Java10101

• ncdhz/jerry

  jerry framework

  Language:Java7101

• ncdhz/redis-net

  这是一个构建redis高可用的工具

  Language:Java70

• ncdhz/cat

  这是一个类容器

  Language:Java5110

• ncdhz/redis-high-availability

  Language:C4100

• gongenbo/nlp_paper_study

  研读顶会论文，复现论文相关代码

  Language:C++10

• lxing532/text-segmentation

  Implementation of the paper: Text Segmentation as a Supervised Learning Task

  Language:Python1100

• yxk9810/NLP-Interview-Notes

  本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。

  Language:Python1100