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总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
Cs224u2,007
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基于Pytorch和torchtext的自然语言处理深度学习框架。
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NLP 领域常见任务的实现,包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。
Textclf217
10 months ago8mitPython
TextClf :基于Pytorch/Sklearn的文本分类框架,包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型,通过简单配置即可完成数据处理、模型训练、测试等过程。
Sdnet171
10 months ago9mitPython
SDNet
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5 years ago3Python
Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17
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Word Embedding + LSTM + FC
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