369 Open source projects that are alternatives of or similar to Cw2vec

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

finalfusion embeddings in Rust

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Fast word vectors with little memory usage in Python

A fast, efficient universal vector embedding utility package.

Topic Modelling for Humans

Compute Sentence Embeddings Fast!

Sample code for training Word2Vec and FastText using wiki corpus and their pretrained word embedding..

Implementing Facebook's FastText with java

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

entity2rec generates item recommendation using property-specific knowledge graph embeddings

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

Load embeddings and featurize your sentences.

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Exploring the simple sentence similarity measurements using word embeddings

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

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.

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

Compass-aligned Distributional Embeddings. Align embeddings from different corpora

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.

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

An implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)

All about Neural Networks!

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

Using pre trained word embeddings (Fasttext, Word2Vec)

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

Compact high quality word embeddings for Russian language

Read and use word2vec vectors in Go

Pre-trained word vectors of 30+ languages

R wrapper for fastText

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

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

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

Embedding模型代码和学习笔记总结

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

兜哥出品 <一本开源的NLP入门书籍>

FastText for Node.js

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

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Word Embeddings for Information Retrieval

Basic Utilities for PyTorch Natural Language Processing (NLP)

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)

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

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

A complete pytorch implementation of skip-gram

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

Python interface to Google word2vec

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

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

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

Using word vectors to classify spam messages

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

对四种句子/文本相似度计算方法进行实验与比较

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

An Engine-Agnostic Deep Learning Framework in Java

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다