Discover the Best Open-Source Fasttext Projects Sorted by Stars

Topic Modelling for Humans

all kinds of text classification models and more with deep learning

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

Pre-trained word vectors of 30+ languages

兜哥出品 <一本开源的NLP入门书籍>

A fast, efficient universal vector embedding utility package.

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

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.

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)

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

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

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）

Compute Sentence Embeddings Fast!

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

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

NLP 领域常见任务的实现，包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。

Fast word vectors with little memory usage in Python

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

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

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