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bert-pytorch

BERT 源码阅读

blog_comments

cascadia-code

This is a fun, new monospaced font that includes programming ligatures and is designed to enhance the modern look and feel of the Windows Terminal.

char_corrector

config

deeplearningexamples

Deep Learning Examples

esim-response-selection

ESIM for Multi-turn Response Selection Task

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fashion_matching

fusion_esim

fusion_esim

hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 关键词提取 自动摘要 短语提取 拼音 简繁转换

lark

LAnguage Representations Kit

mlx-examples

Examples in the MLX framework

nas-tools

NAS媒体库管理工具

nlp_clip_pytorch

star_transformer pytorch

notes_for_work

notes

point_prediction

pretrained-language-model

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

pynlpl

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

text-attention-heatmap-visualization

Plot the vector graph of attention based text visualisation

transformer-xl

ubuntu-ranking-dataset-creator

A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

visdom-tutorial

A simple tutorial to use Visdom to plot your PyTorch training graphs