204 Open source projects that are alternatives of or similar to wordmap

Remove problematic gender bias from word embeddings.

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

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

Using pre trained word embeddings (Fasttext, Word2Vec)

RUSSE: Russian Semantic Evaluation.

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

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

Using word vectors to classify spam messages

基于情感字典和机器学习的股市舆情情感分类可视化Web

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

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

Implementation of Grad-CAM for text.

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Graph Embedding via Frequent Subgraphs

Pre-trained word vectors of 30+ languages

A practical movie recommend project based on Item2vec.

Topic Modelling for Humans

document embedding and machine learning script for beginners

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

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

Implementing Facebook's FastText with java

Word2Vec iOS port

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

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

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.

Pre-trained Word2Vec Model for Turkish

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

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

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

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

An evaluation of word-embeddings for classification

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

Cukatify is a music social media project

Log Anomaly Detection - Machine learning to detect abnormal events logs

skip-gram for Chinese word2vec base on tensorflow

entity2rec generates item recommendation using property-specific knowledge graph embeddings

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)

code for "Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering" ACL 2017

A complete pytorch implementation of skip-gram

A word2vec negative sampling implementation with correct CBOW update.

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

Recommendation based on sequence

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

Oxford Deep NLP 2017 course - Practical 1: word2vec

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

An unofficial implementation of asm2vec as a standalone python package

Go library for performing computations in word2vec binary models

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

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。

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

Python interface to Google word2vec

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

Word2Vec encodings based search engine for Stackoverflow questions

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

Language Modeling and Text Classification in Malayalam Language using ULMFiT

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