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此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

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该仓库主要记录 NLP 算法工程师相关的面试题

tensorflow implementation

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A Tensorflow implementation of QANet for machine reading comprehension

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CTR prediction using FM FFM and DeepFM

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Rank2 solution (no-BERT) for 2019 Language and Intelligence Challenge - DuReader2.0 Machine Reading Comprehension.

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机器阅读理解冠军/亚军代码及中文预训练MRC模型

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Text Generation through Markov Chains

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Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

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Byte Cup 2018国际机器学习竞赛 23 名（水滴队）代码

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