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robert's Projects

absa-pytorch icon absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。

albert icon albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

albert_zh icon albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

analytics_vidhya icon analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

answer_selection icon answer_selection

For those who want to model the inter-sentence relations, pls use the more powerful code of "Attentive Convolution" in another repository

aspect_extraction icon aspect_extraction

Auto labeling-tool implemented with PyTorch for aspect-based sentiment analysis.

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-as-service icon bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

chinese-bert-wwm icon chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)

clue icon clue

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

csts icon csts

中文自然语言推理与语义相似度数据集

deepctr icon deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

dssm icon dssm

DSSM and Multi-View DSSM

ernie icon ernie

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

ernie-1 icon ernie-1

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

faspell icon faspell

2019-SOTA简繁中文拼写检查工具:FASPell Chinese Spell Checker (Chinese Spell Check / 中文拼写检错 / 中文拼写纠错 / 中文拼写检查)

horovod icon horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

introduction-nlp icon introduction-nlp

HanLP作者的新书《自然语言处理入门》详细笔记!业界良心之作,书中不是枯燥无味的公式罗列,而是用白话阐述的通俗易懂的算法模型。从基本概念出发,逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。

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