247 Open source projects that are alternatives of or similar to Fast_sentence_embeddings

A fast, efficient universal vector embedding utility package.

Fast word vectors with little memory usage in Python

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

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.

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

finalfusion embeddings in Rust

Topic Modelling for Humans

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

Using pre trained word embeddings (Fasttext, Word2Vec)

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

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.

R wrapper for fastText

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

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

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

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

Text Classification in Turkish Texts with Bert

Compass-aligned Distributional Embeddings. Align embeddings from different corpora

Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.

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

Fuzzy string matching, grouping, and evaluation.

Nodejs binding for fasttext representation and classification.

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

An implementation of the Watset clustering algorithm in Java.

Sentiment Analysis: Deep Bi-LSTM+attention model

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

Read and use word2vec vectors in Go

CODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]

Recommender Systems Paperlist that I am interested in

Implementation of IR2Vec, published in ACM TACO

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

Library for fast text representation and extreme classification.

A python package to run contextualized topic modeling. CTMs combine BERT with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.

Embedding模型代码和学习笔记总结

extract relationships from standardized terms from corpus of interest with deep learning 🐟

Embedded UIScrollView for iOS.

Simple embedding based text classifier inspired by fastText, implemented in tensorflow

Hybrid Code Networks https://arxiv.org/abs/1702.03274

Implementação e modelo gerado com o treinamento (trigram) da wikipedia em pt-br

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

Toolkit to help understand "what lies" in word embeddings. Also benchmarking!

Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

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)

Graph convolutional neural network for multirelational link prediction

Repo for my talk at the PyData Berlin 2017 conference

a contextual search engine for software packages built on import2vec embeddings (https://www.code-compass.com)

Reference implementations of popular DL models missing from keras-applications & keras-contrib

Unofficial Implementation of "Bag of Tricks for Efficient Text Classification", 2016, Armand Joulin et al. (https://arxiv.org/pdf/1607.01759.pdf)

Knowledge Graph Embedding LDA. AAAI 2017

A library for transfer learning by reusing parts of TensorFlow models.

Network Embedding Survey and Resources

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

📖Notes and remarks on Machine Learning related papers

Face Recognition using the FaceNet model and MLKit on Android.

JavaScript embedder for Wolfram Cloud notebooks

Neural Code Comprehension: A Learnable Representation of Code Semantics

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

An unsupervised analysis combining topic modeling and clustering to preserve an individuals work history and credentials while tailoring their resume towards a new career field

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.