205 Open source projects that are alternatives of or similar to Word2vec

document embedding and machine learning script for beginners

Embedding模型代码和学习笔记总结

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doc2vec , word2vec, implemented by golang. word embedding representation

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Assessing Source Code Semantic Similarity with Unsupervised Learning

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

嵌入Word2vec词向量的RNN+ATTENTION中文文本分类

Machine learning, in numpy

Pre-trained word vectors of 30+ languages

Implementing Facebook's FastText with java

Python Framework for Extractive Text Summarization

Notebooks for the Seattle PyData 2017 talk on Scattertext

Web-ify your word2vec: framework to serve distributional semantic models online

Beautiful visualizations of how language differs among document types.

Remove problematic gender bias from word embeddings.

兜哥出品 <一本开源的NLP入门书籍>

Using word vectors to classify spam messages

A fast, efficient universal vector embedding utility package.

About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.

Some research experiments

Using pre trained word embeddings (Fasttext, Word2Vec)

利用文本挖掘技术进行新闻热点关注问题分析

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

Use pytorch to implement word2vec

text2vec, chinese text to vetor.(文本向量化表示工具，包括词向量化、句子向量化、句子相似度计算)

FastText for Node.js

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Implementation of Hierarchical Attention Networks in PyTorch

A complete pytorch implementation of skip-gram

dna2vec: Consistent vector representations of variable-length k-mers

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、PCA、SVD

NEG loss implemented in pytorch

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

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

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

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。

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

utils to use word embedding like word2vec vectors in a postgres database

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

Uses a distributed word representation to finds words along the hyperchord of two input words.

Log Anomaly Detection - Machine learning to detect abnormal events logs

Dict2vec is a framework to learn word embeddings using lexical dictionaries.

Go library for performing computations in word2vec binary models

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

对四种句子/文本相似度计算方法进行实验与比较

基于字符训练词向量

对 ansj 编写的 Word2VEC_java 的进一步包装，同时实现了常用的词语相似度和句子相似度计算。

Japanese text8 corpus for word embedding.

Russian mass media stemmed texts corpus / Корпус лемматизированных (морфологически нормализованных) текстов российских СМИ

entity2rec generates item recommendation using property-specific knowledge graph embeddings

sourced.ml is a library and command line tools to build and apply machine learning models on top of Universal Abstract Syntax Trees

The reference implementation of "Multi-scale Attributed Node Embedding".

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).