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谷歌Word2Vec模型,包括 300 万个单词和短语的词汇表的单词向量
It’s 1.5GB! It includes word vectors for a vocabulary of 3 million words and phrases that they trained on roughly 100 b...Computer Science,Programming Classification
3.64G
366
Umberto
斯坦福大学的GloVe预训练的单词向量
GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on agg...Computer Science,Sports,Retail and Shopping Classification
989.9M
410
Mohamed Atef Khalaf
NLP Word2Vec 现有的word2vec嵌入,包括手套和谷歌新闻,用于被训练来重建单词的语言上下文
Word2vec is a group of related models that are used to produce word embeddings. These models are shallow, two-layer neur...NLP,Computer Science Classification
5.89G
330
pkugoodspeed
Facebook发布的300维预训练FastText英语单词向量
300-dimensional pretrained FastText English word vectors released by Facebook.The first line of the file contains the nu...NLP,Arts and Entertainment,Games Classification
4.52G
319
Vladimir Demidov
GloVe是一种无监督的学习算法 用于获得单词的向量表示
GloVe 是一种无监督学习算法,用于获取单词的向量表示。训练是在来自语料库的聚合全局词-词共现统计数据上执行的,结果表示展示...NLP,Deep Learning,Education Classification
1.5G
595
JdPaletto
基于Reddit评论的单词表示法的全局矢量数据集
GloVe Reddit Comments Global Vectors for Word Representation based on Reddit comments...NLP Classification
19.1G
364
Leigh