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algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

chinese-abbreviation-dataset

This is a corpus of Chinese abbreviation, including negative full forms.

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

chinese_nlp

中文自然语言处理入门实战课程语料

chinese_sentiment

用tensorflow进行中文自然语言处理的情感分析

chinese_text_classification

chineseembedding

Chinese Embedding collection incling token ,postag ,pinyin,dependency,word embedding.中文自然语言处理向量合集,包括字向量,拼音向量,词向量,词性向量,依存关系向量.共5种类型的向量

cnn_lstm_for_text_classify

CNN, LSTM, NBOW, fasttext 中文文本分类

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

easy_lstm_cnn

Lstm+Cnn 预训练词向量 文本分类

firstproject

some code here

gensim

Topic Modelling for Humans

holographic-embeddings

Code for experiments in the AAAI 2016 paper "Holographic Embeddings of Knowledge Graphs"

jieba

结巴中文分词

jquery

jQuery JavaScript Library

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

matchzoo

Facilitating the design, comparison and sharing of deep text matching models.

muse

A library for Multilingual Unsupervised or Supervised word Embeddings

neural-sentence-embedding-models-for-biomedical-applications

nlp-papers

Natural Language Processing Papers

path

scikit-kge

Python library to compute knowledge graph embeddings

sentence2vec

This is a implementation of the paper A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SENTENCE EMBEDDING.

sentence2vec-1

Sentence2vec as described in A SIMPLE BUT TOUGH TO BEAT BASELINE FOR SENTENCE EMBEDDINGS by Sanjeev Arora, Yingyu Liang, Tengyu Ma

tensorflow

An Open Source Machine Learning Framework for Everyone

textclassifier

tensorflow implementation

thuthesis

LaTeX Thesis Template for Tsinghua University

word-embedding

Word2vec, Fasttext, Glove, Elmo, Bert, Flair pre-train Word Embedding

word-embedding-with-python

word2vec, doc2vec, GloVe implementation with Python