hummingbird
/
fastNLP
Not watched
2
0
Fork 0
Code
Releases 13 Wiki Activity
Issues 0 Pull Requests 0 Datasets Model Cloudbrain
You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.
590 Commits
3 Branches
25 MB
0 Download
 
 
 
 
 
Tree: 400552971c
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from '400552971c'
${ noResults }
yh 400552971c 1. callback中增加GradientClip; 2.Trainer中取消_print_train()和_tqdm_train()，全部并入了_train() 5 years ago
.github Update PULL_REQUEST_TEMPLATE.md 5 years ago
docs fix version number 5 years ago
fastNLP 1. callback中增加GradientClip; 2.Trainer中取消_print_train()和_tqdm_train()，全部并入了_train() 5 years ago
reproduction 1. callback中增加GradientClip; 2.Trainer中取消_print_train()和_tqdm_train()，全部并入了_train() 5 years ago
test add callback in Trainer 5 years ago
tutorials update fastnlp_advanced_tutorial 5 years ago
.travis.yml - add progress bar for data set loading 6 years ago
LICENSE add LICENSE, setup.py & requirements.txt 6 years ago
README.md update README.md 6 years ago
readthedocs.yml update docs 6 years ago
requirements.txt 1. 优化trainer checkcode过程的报错信息 6 years ago
setup.py * fix processor.py 6 years ago

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

Project Structure

fastNLP an open-source NLP library
fastNLP.api APIs for end-to-end prediction
fastNLP.core data representation & train/test presedure
fastNLP.models a collection of NLP models
fastNLP.modules a collection of PyTorch sub-models/components/wheels
fastNLP.io readers & savers
Delete task

Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.

cancel
confirm

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