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outstandingMan's Projects

awesome-deep-learning-papers-for-search-recommendation-advertising icon awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-spring-boot icon awesome-spring-boot

springboot 各种资料整理(demo、教程、网站、starter文档等),持续更新,欢迎pr。

awesome-visual-slam icon awesome-visual-slam

:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

bayesian-neural-networks icon bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bert-classifier icon bert-classifier

A general text classifier based on BERT. Multi-process data processing, multi-gpu parallel training, rich monitoring indicators.

bert4rec icon bert4rec

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

bertner icon bertner

bert-ner for chinese with BiLSTM+CRF model

blockchain icon blockchain

黑马程序员 120天全栈区块链开发 开源教程

calc4b-zh icon calc4b-zh

:book: [译] MIT 18.03 面向初学者的微积分

ccfcompetition icon ccfcompetition

这是本人第一次数据算法比赛实录。主要整理记录2017年CCF大数据与计算智能竞赛使用的模型和实现代码,选择了基于主题的文本情感分析赛题。采用情感词典+自定义规则完成比赛,成绩:136/796。

ccf_sougou icon ccf_sougou

CCF_大数据精准营销中搜狗用户画像挖掘

char-rnn icon char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cikm-2019-analyticup icon cikm-2019-analyticup

2019-CIKM挑战赛,超大规模推荐之用户兴趣高效检索赛道 冠军解决方案

co-action-network icon co-action-network

Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction

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