408 Open source projects that are alternatives of or similar to Fasttext.py

Nodejs binding for fasttext representation and classification.

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

Text Classification of Nepali Language Document. This Mini Project was done for the partial fulfillment of NLP Course : COMP 473.

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

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

Library for fast text representation and extreme classification.

FastText for Node.js

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

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.

all kinds of text classification models and more with deep learning

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

R wrapper for fastText

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

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

Natural language detection library for Rust. Try demo online: https://www.greyblake.com/whatlang/

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

Data augmentation for NLP, presented at EMNLP 2019

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

文本分类基准测试

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

Automatic paper clustering and search tool by fastext from Facebook Research

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

Tensorflow implementation of attention mechanism for text classification tasks.

A curated list of gradient boosting research papers with implementations.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

All about Neural Networks!

Text Mining in Python

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)

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

🔮Deep Learning for text made easy with AllenNLP

基于Pytorch和torchtext的自然语言处理深度学习框架。

Meta learning with BERT as a learner

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

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

Text classification using deep learning models in Pytorch

Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)

Implementation of papers for text classification task on DBpedia

🎯🗯 Generate datasets for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!

Machine learning for Project Cognoma

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

Text classification with Sparse Composite Document Vectors.

All kinds of neural text classifiers implemented by Keras

A tool for learning vector representations of words and entities from Wikipedia

Chinese Question Classifier (Keras Implementation) on BQuLD

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Graph Convolutional Networks for Text Classification. AAAI 2019

A Modern C++ Data Sciences Toolkit

Text classifier for Hierarchical Attention Networks for Document Classification

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

The Python Code Tutorials

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

Predict the author's gender from their text.

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

Hierarchy-Aware Global Model for Hierarchical Text Classification

TextCNN by TensorFlow 2.0.0 ( tf.keras mainly ).

📈 Find your fasttext hyperparameters quickly and easily.