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README.md

fastNLP

Build Status
codecov
PyPI version
Hex.pm
Documentation Status

FastNLP is a modular Natural Language Processing system based on PyTorch, built for fast development of NLP models.

A deep learning NLP model is the composition of three types of modules:

module type functionality example
encoder encode the input into some abstract representation embedding, RNN, CNN, transformer
aggregator aggregate and reduce information self-attention, max-pooling
decoder decode the representation into the output MLP, CRF

For example:

Requirements

  • Python>=3.6
  • numpy>=1.14.2
  • torch>=0.4.0
  • tensorboardX
  • tqdm>=4.28.1

Resources

Installation

Run the following commands to install fastNLP package.

pip install fastNLP

Models

fastNLP implements different models for variant NLP tasks.
Each model has been trained and tested carefully.

Check out models' performance, usage and source code here.

Project Structure

fastNLP an open-source NLP library
fastNLP.api APIs for end-to-end prediction
fastNLP.core data representation & train/test procedure
fastNLP.models a collection of NLP models
fastNLP.modules a collection of PyTorch sub-models/components/wheels
fastNLP.io readers & savers
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一款轻量级的自然语言处理（NLP）工具包，目标是减少用户项目中的工程型代码，例如数据处理循环、训练循环、多卡运行等

Python Jupyter Notebook Text CSV Markdown