231 Open source projects that are alternatives of or similar to Word-Embeddings-and-Document-Vectors

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

This repo aims to contain different machine learning use cases along with the descriptions to the model architectures

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

Log Anomaly Detection - Machine learning to detect abnormal events logs

Python interface to Google word2vec

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

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

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

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.

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)

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

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

Text to abstract art generation for the holidays!

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.

Extrapolate gender from first names using Naïve-Bayes and PyTorch Char-RNN

对四种句子/文本相似度计算方法进行实验与比较

Exploring the simple sentence similarity measurements using word embeddings

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

Naive Bayes Classifier in Swift for Mac and iOS

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Cukatify is a music social media project

A complete pytorch implementation of skip-gram

Recommendation based on sequence

A word2vec negative sampling implementation with correct CBOW update.

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

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

基于情感字典和机器学习的股市舆情情感分类可视化Web

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

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

skip-gram for Chinese word2vec base on tensorflow

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

Language Modeling and Text Classification in Malayalam Language using ULMFiT

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

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

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

Implementation of Grad-CAM for text.

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

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

Remove problematic gender bias from word embeddings.

naive bayes in php

Pre-trained word vectors of 30+ languages

Naive Bayes classifier for use in Lua

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

RUSSE: Russian Semantic Evaluation.

Topic Modelling for Humans

Candidate solution for Facebook's fake news problem using machine learning and crowd-sourcing. Takes form of a Chrome extension. Developed in under 24 hours at 2017 Crimson Code hackathon at Washington State University.

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)".

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

Using word vectors to classify spam messages

Implementing Facebook's FastText with java

Word2Vec iOS port

Using pre trained word embeddings (Fasttext, Word2Vec)

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

document embedding and machine learning script for beginners

An unofficial implementation of asm2vec as a standalone python package

Graph Embedding via Frequent Subgraphs

Using a Naive Bayes Classifier gets possible diseases from symptoms