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Lightnlp ⭐ 725

基于Pytorch和torchtext的自然语言处理深度学习框架。

Nlp Notebook ⭐ 390

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

Deep_learning_nlp ⭐ 359

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Pyrdf2vec ⭐ 232

🐍 Python Implementation and Extension of RDF2Vec

Pytorch Sgns ⭐ 222

Skipgram Negative Sampling in PyTorch

Nlp_learning ⭐ 166

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、

Colibri Core ⭐ 122

Colibri core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool ``colibri-patternmodeller`` whi ch allows you to build, view, manipulate and query pattern models.

Graph2vec_tf ⭐ 107

This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

Word2vec Pytorch ⭐ 55

Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling

Text Analysis ⭐ 32

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Skip Gram Model Pytorch ⭐ 27

PyTorch implementation of the Word2Vec (Skip-Gram Model) and visualizing the trained embeddings using TSNE

Chinese Word2vec Pytorch ⭐ 24

word2vec implementation for skip-gram in pytorch

Subgraph2vec_tf ⭐ 21

This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper

Symptom Disease ⭐ 18

Finds out symptoms similar to a given symptom, from a symptom-disease data set.

Bengali Word Embedding ⭐ 15

Bengali Word Embedding

Repository for the lectures taught in the course named "Natural Language Processing" at the University of Guilan, Department of Computer Engineering.

Compare_word_embedding ⭐ 7

意味表現学習

Regularized Rbm ⭐ 7

A regularized version of RBM for unsupervised feature selection.

Dialectgram ⭐ 5

[SCiL 2020] DialectGram: Detection of Dialectal Changes with Multi-geographic Resolution Analysis

Text Categorization Using Neural Word Embeddings ⭐ 5

This is a practical implementation implementing neural networks on top of fasttext as well as word2vec word embeddings.

word2vec implementation (for skip-gram and cbow) and simple application of word2vec in sentiment analysis

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