Fasttext Open Source Projects

Library for fast text representation and classification.

Topic Modelling for Humans

all kinds of text classification models and more with deep learning

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

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

A library for Multilingual Unsupervised or Supervised word Embeddings

该仓库主要记录 NLP 算法工程师相关的面试题

兜哥出品 <一本开源的NLP入门书籍>

Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。

Pre-trained word vectors of 30+ languages

An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

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

A fast, efficient universal vector embedding utility package.

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.

:fish::fish::fish: 机器学习面试复习资源

1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)

TOP250豆瓣电影短评：Scrapy 爬虫+数据清理/分析+构建中文文本情感分析模型

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

Support content for my blog

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

Fuzzy string matching, grouping, and evaluation.

一个生产级、高性能、模块化、可扩展的中文NLP工具包。（中文分词、平均感知机、fastText、拼音、新词发现、分词纠错、BM25、人名识别、命名实体、自定义词典）

Word2vec, Fasttext, Glove, Elmo, Bert, Flair pre-train Word Embedding

基于各种机器学习和深度学习的中文微博情感分析

Compute Sentence Embeddings Fast!

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

About Muti-Label Text Classification Based on Neural Network.

预训练语言模型综述

🔎 Semantic search for developers

Implementation of State-of-the-art Text Classification Models in Pytorch

Fast word vectors with little memory usage in Python

a Deep Learning Framework for Text https://delft.readthedocs.io/

中文文本分类任务，基于PyTorch实现（TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention, DPCNN, Transformer，Bert，ERNIE），开箱即用！

Spanish word embeddings computed with different methods and from different corpora

🌸 fastText + Bloom embeddings for compact, full-coverage vectors with spaCy

Simple downloader for pre-trained word vectors

Dynamic Meta-Embeddings for Improved Sentence Representations

Sentiment analysis library for russian language

BNLP is a natural language processing toolkit for Bengali Language.

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

all kinds of baseline models for long text classificaiton( text categorization)

State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.

4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.

A practical movie recommend project based on Item2vec.

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

Toxic Comment Classification Challenge

Java interface for fastText

知乎看山杯 第二名 解决方案

Sentence Classifications with Neural Networks

scikit-learn wrappers for Python fastText.

Tensorflow implementations of various Deep Semantic Matching Models (DSMM).

Yet another Python binding for fastText

Vietnamese NLP Toolkit for Node

Compact high quality word embeddings for Russian language

2018达观杯文本智能处理挑战赛 Top10解决方案（10/3830）

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

Tutorial to train fastText with Japanese corpus

FastText for Node.js

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.