525 Open source projects that are alternatives of or similar to Finalfusion Rust

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

Fast word vectors with little memory usage in Python

A fast, efficient universal vector embedding utility package.

Exploring the simple sentence similarity measurements using word embeddings

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

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

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

Using pre trained word embeddings (Fasttext, Word2Vec)

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

Compact high quality word embeddings for Russian language

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

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

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

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

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

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

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

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

Implementation of Hierarchical Attention Networks in PyTorch

Service Classification based on Service Description

Implementing Facebook's FastText with java

entity2rec generates item recommendation using property-specific knowledge graph 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

Topic Modelling for Humans

All about Neural Networks!

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

R wrapper for fastText

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

Sarcasm Detection for Sentiment Analysis

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.

Code for "Effective Dimensionality Reduction for Word Embeddings".

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.

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.

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

兜哥出品 <一本开源的NLP入门书籍>

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

FastText for Node.js

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。

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

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

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

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

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

Read and use word2vec vectors in Go

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)

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

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

(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

Embedding模型代码和学习笔记总结

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.

Compass-aligned Distributional Embeddings. Align embeddings from different corpora

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

Pre-trained word vectors of 30+ languages

Load embeddings and featurize your sentences.

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

Compute Sentence Embeddings Fast!

Solves basic Russian NLP tasks, API for lower level Natasha projects

Web based semantic visualization tool

Curated list of 2vec-type embedding models

基于Pytorch和torchtext的自然语言处理深度学习框架。