380 Open source projects that are alternatives of or similar to Simple-Sentence-Similarity

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

A fast, efficient universal vector embedding utility package.

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.

finalfusion embeddings in Rust

Fast word vectors with little memory usage in Python

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

Word Embeddings (e.g. Word2Vec) in Go!

FastText for Node.js

Using pre trained word embeddings (Fasttext, Word2Vec)

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

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

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.

Topic Modelling for Humans

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

nlp lecture-notes and source code

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

Sarcasm Detection for Sentiment Analysis

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

A word2vec negative sampling implementation with correct CBOW update.

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Embedding模型代码和学习笔记总结

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

How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.

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

Codenames AI using Word Vectors

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

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

Arabic Word Embeddings Word2vec

Benchmarks for intrinsic word embeddings evaluation.

Compact high quality word embeddings for Russian language

wmd4j is a Java library for calculating Word Mover's Distance (WMD)

Implementing Facebook's FastText with java

A pipeline for training word embeddings using word2vec on wikipedia corpus.

Remove problematic gender bias from word embeddings.

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

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

Train Wikidata with word2vec for word embedding tasks

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

Four word embedding models implemented in Python. Supporting arbitrary context features

Implementation of Hierarchical Attention Networks in PyTorch

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

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

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

Service Classification based on Service Description

All about Neural Networks!

A word2vec port for Windows.

Beautiful visualizations of how language differs among document types.

Pre-trained word vectors of 30+ languages

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

兜哥出品 <一本开源的NLP入门书籍>

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.

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

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。

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

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

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

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