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little-bigtiger's Projects

addons icon addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

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

algorithm-base icon algorithm-base

专门为刚开始刷题的同学准备的算法基地,没有最细只有更细,立志用动画将晦涩难懂的算法说的通俗易懂!

analytics-zoo icon analytics-zoo

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

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

bert-bilstm-crf-ner icon bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

chinesener icon chinesener

基于Bi-GRU + CRF 的中文机构名、人名识别, 支持google bert模型

classifier_multi_label_textcnn icon classifier_multi_label_textcnn

multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification

example-code icon example-code

Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)

harvesttext icon harvesttext

文本挖掘和预处理工具(文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等),无监督或弱监督方法

kenlm icon kenlm

KenLM: Faster and Smaller Language Model Queries

lac icon lac

百度NLP:分词,词性标注,命名实体识别,词重要性

ltp icon ltp

Language Technology Platform

ml-nlp icon ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

opennre icon opennre

哈工大bert上fine turning ,中文人物关系抽取任务准确率0.97

pycorrector icon pycorrector

pycorrector is a toolkit for text error correction. 文本纠错,Kenlm,Seq2Seq_Attention,BERT,MacBERT,ELECTRA,ERNIE,Transformer等模型实现,开箱即用。

redis icon redis

Native port of Redis for Windows. Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs. This repository contains unofficial port of Redis to Windows.

stanza icon stanza

Official Stanford NLP Python Library for Many Human Languages

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