208 Open source projects that are alternatives of or similar to word2vec-pytorch

Embedding模型代码和学习笔记总结

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

TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Making sense embedding out of word embeddings using graph-based word sense induction

Word2Vec iOS port

Web服务：使用腾讯 800 万词向量模型和 spotify annoy 引擎得到相似关键词

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Implementation of Grad-CAM for text.

Pre-trained word vectors of 30+ languages

Topic Modelling for Humans

基于情感字典和机器学习的股市舆情情感分类可视化Web

A two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

An evaluation of word-embeddings for classification

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

Language Modeling and Text Classification in Malayalam Language using ULMFiT

Remove problematic gender bias from word embeddings.

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

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

RUSSE: Russian Semantic Evaluation.

Bag of words meets bags of popcorn in Python 3 中文教程

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

A practical movie recommend project based on Item2vec.

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

Using word vectors to classify spam messages

Oxford Deep NLP 2017 course - Practical 1: word2vec

skip-gram for Chinese word2vec base on tensorflow

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

Word2Vec encodings based search engine for Stackoverflow questions

Python interface to Google word2vec

Recommendation based on sequence

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.

Visualize large text collections with WebGL

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

Scripts demo-ing how to train a Word2Vec model and reduce its vector space

对四种句子/文本相似度计算方法进行实验与比较

document embedding and machine learning script for beginners

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

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

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

同名论文消歧的工程化方案（参考2019智源-aminer人名消歧竞赛第一名方案）

Log Anomaly Detection - Machine learning to detect abnormal events logs

Exploring the simple sentence similarity measurements using word embeddings

entity2rec generates item recommendation using property-specific knowledge graph embeddings

An unofficial implementation of asm2vec as a standalone python package

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)

Cukatify is a music social media project

A complete pytorch implementation of skip-gram

Receipt.ID is a multi-label, multi-class, hierarchical classification system implemented in a two layer feed forward network.

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

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

Hyperstar: Negative Sampling Improves Hypernymy Extraction Based on Projection Learning.

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

Implementing Facebook's FastText with java

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

A word2vec negative sampling implementation with correct CBOW update.

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A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.