dev.to 2020/02/13
towardsdatascience... 2019/12/03
medium.com 2019/11/20
engineer.dena.jp 2018/01/12
towardsdatascience... 2017/12/07
towardsdatascience... 2017/07/09
qiita.com 2016/07/13

github.com 2019/04/22

NLP 相关的一些文档、论文及代码, 包括主题模型(Topic Model)、词向量(Word Embedding)、命名实体识别(Named Entity Recognition)、文本分类(Text Classificatin)、文本生成(Text Generation)、文本相似性(Text Similarity)计算、机器翻译(Machine Translation)等,涉及到各种与nlp相关的算法,基于tensorflow 2.0。

github.com 2019/04/06

Machine learning, in numpy

github.com 2019/02/08

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

github.com 2019/01/19

Kashgari is a Production-ready NLP Transfer learning framework for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

github.com 2018/04/02

兜哥出品 <一本开源的NLP入门书籍>

github.com 2018/02/24

A fast, efficient universal vector embedding utility package.

github.com 2017/08/15

Extract Keywords from sentence or Replace keywords in sentences.

github.com 2017/01/18

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

github.com 2016/12/21

Pre-trained word vectors of 30+ languages

github.com 2016/12/17

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

github.com 2016/12/05

A curated list of awesome embedding models tutorials, projects and communities.

github.com 2016/07/21

Beautiful visualizations of how language differs among document types.

github.com 2016/05/17

This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks

github.com 2016/01/23

🦆 Contextually-keyed word vectors

github.com 2015/08/12

Automatically exported from code.google.com/p/word2vec

github.com 2014/10/09

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

github.com 2014/07/15

Simple web service providing a word embedding model

github.com 2013/08/25

Python interface to Google word2vec

github.com 2013/08/17

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and fo

github.com 2011/02/10

Topic Modelling for Humans


www.youtube.com 2019/02/18
www.youtube.com 2018/10/19

In this new playlist, I explain word embeddings and the machine learning model word2vec with an eye towards creating JavaScript examples with ml5.js.

www.youtube.com 2018/10/18

Word2Vec - here's a short video giving you some intuition and insight into word2vec and word embedding. Summary of word2vec and word embedding.

www.youtube.com 2018/10/02

Word2Vec #SkipGram #CBOW #DeepLearning Word2Vec is a very popular algorithm for generating word embeddings. It preserves word relationships and is ...

www.youtube.com 2018/06/10

explain what is word encoding, embedding and how word2vec provide vector representation with similarity. code is available at ...

www.youtube.com 2017/04/03

Lecture 2 continues the discussion on the concept of representing words as numeric vectors and popular approaches to designing word vectors. Key phrases: ...

www.youtube.com 2017/03/05

This video explains word2vec concepts and also helps implement it in gensim library of python. Word2vec extracts features from text and assigns vector ...

www.youtube.com 2017/02/01

In this video, we'll use a Game of Thrones dataset to create word vectors. Then we'll map these word vectors out on a graph and use them to tell us related ...

www.youtube.com 2016/06/06

This video is part of the Udacity course "Deep Learning". Watch the full course at https://www.udacity.com/course/ud730.

www.youtube.com 2016/06/06

This video is part of the Udacity course "Deep Learning". Watch the full course at https://www.udacity.com/course/ud730.


www.amazon.co.jp 2015/12/01

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