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natural-language-processing
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
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《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。
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TensorFlow code and pre-trained models for BERT
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Learn how to responsibly develop, deploy and maintain production machine learning applications.
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中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
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Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
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本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
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Oxford Deep NLP 2017 course
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Topic Modelling for Humans
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A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
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A very simple framework for state-of-the-art Natural Language Processing (NLP)
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Natural Language Processing Tutorial for Deep Learning Researchers
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Created by Alan Turing
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