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pebble

Pebble分布式开发框架

pegasus

personalizedmultitasklearning

Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).

plda

PLDA: Parallel Latent Dirichlet Allocation in C++

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

positioning-shops

Positioning shops

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

pretrained-language-model

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

pretrained-models

Open Language Pre-trained Model Zoo

privacy

Library for training machine learning models with privacy for training data

product-nets

Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.

productknowledgegraph

GoodsKG, a knowledge graph that contains the product-product hierarchy and producer sales goods relationship, which sum up to 1300 products and more than 90000 brands, 基于京东网站的商品上下级概念，商品品牌之间关系，商品描述维度等知识库，基于该知识库可以支持商品属性库构建，商品销售问答，品牌物品生产等知识查询服务，也可用于情感分析等下游应用．

proofreadv1

中文文本自动纠错

protobuf

Protocol Buffers - Google's data interchange format

pyclick

pyclue

Python toolkit for Chinese Language Understanding(CLUE) Evaluation benchmark

pycrfsuite

pyhanlp

中文分词 词性标注 命名实体识别 依存句法分析 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 自然语言处理

pytext

A natural language modeling framework based on PyTorch

python-crf

Python implementation of linear-chain conditional random fields.

python-crfsuite

A python binding for crfsuite

python-snowflake

Utility functions for creating and melting Twitter snowflake ID's.

python-topic-model

Implementation of various topic models

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

pytorch-pretrained-bert

A PyTorch implementation of Google AI's BERT model with script to load Google's pre-trained models

pytorch-seq2seq-intent-parsing

Intent parsing and slot filling in PyTorch with seq2seq + attention

qanet

A Tensorflow implementation of QANet for machine reading comprehension

query-suggestion

This a query auto-completion system can be used in any searching scenario

querypairmodels