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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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AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
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TensorFlow code and pre-trained models for BERT
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Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
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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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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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Your new Mentor for Data Science E-Learning.
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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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500 AI Machine learning Deep learning Computer vision NLP Projects with code
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NLTK Source
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Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
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An open-source NLP research library, built on PyTorch.
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Created by Alan Turing
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