There are 8 repositories under fasttext topic.
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.
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. 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
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.
Compute Sentence Embeddings Fast!
Implementation of State-of-the-art Text Classification Models in Pytorch
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
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
Yet another Python binding for fastText
Sentence Classifications with Neural Networks
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.
Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...
One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
🌸 fastText + Bloom embeddings for compact, full-coverage vectors with spaCy
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
Implementing Facebook's FastText with java
State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.
Using pre trained word embeddings (Fasttext, Word2Vec)
CVTK, a Computer Vision ToolKit.
FastText for Node.js
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
Library for fast text representation and extreme classification.
A text analysis application for performing common NLP tasks through a web dashboard interface and an API
Tools for shrinking fastText models (in gensim format)