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Name: Jclian
Type: User
Bio: 微信公众号：NLP奇幻之旅 知识星球：自然语言处理奇幻之旅 知乎：NLP奇幻之旅
Location: Shanghai
Jclian's Projects
-word-
利用文本分析算法和Python脚本，自动纠正word中的英语单词拼写错误
albert_4_time_recognition
使用ALBERT预训练模型，用于识别文本中的时间，同时验证模型的预测耗时是否有显著提升。
albert_text_classification
利用ALBERT实现文本二分类，判别是否属于政治上的出访类事件，提升模型训练和预测速度。
alias_find_system
别名发现系统
aplay_example
Examples of APlayer.js
audio_recognizition
Using Xunfei and Baidu API to recognize audio in wav format
basic_algorithm_problems
Collection of Basic Algorithm Problems
bert_doc_binary_classification
文本二分类任务，是否文档是否属于政治上的出访类事件，利用BERT提取特征，模型采用简单的DNN。
bert_finetune_text_classification
利用BERT微调进行文本分类。
bert_sougou_qa
本项目利用keras-bert和tokenizers模块，对BERT进行微调，对搜狗问答数据集实现抽取式问答。
captcha-recognizition
Using CNN model to recognize CAPTCHA by using Keras.
ccks_triple_extract
限定领域的三元组抽取的一次尝试，本文将会介绍笔者在2019语言与智能技术竞赛的三元组抽取比赛方面的一次尝试。
celery_example
two examples for celery with python, one for math operation, the other for web scraping.
chinese_captcha_recognize
chinese_captcha_recognize
chinese_time_recogniztion
利用深度学习模型，在小标注量数据上，进行文本中的时间识别。
ckpt_2_pb_examples
将ckpt转化为pb文件的一个例子，部署pb文件并进行预测。
clip_learning
The project is for openai clip learning.
cnews_text_classification
利用kashgari轻松搭建文本分类模型。
cnn_4_verifycode
使用Keras搭建CNN模型，破解简单的网页验证码
cpm-lm-tf2-demo
本项目使用清源预训练模型CPM，并给出一些模型使用的例子。
crf-chinese-word-segment
利用CRF模型实现中文分词功能
crf_4_ner
Using CRF++ for NER
crf_chinese_ner
利用CRF++实现中文命名实体识别
csv_file_review
使用tornado上传Excel、CSV文件，并可以在线浏览。
deep_learning_miscellaneous
some basic knowledge of deep learning and Pretrained Language Model of NLP
dgl_learning
DGL学习笔记
dl_4_ner
Using Bi-LSTM model for NER in English.
docker_env_test
该项目用于演示如何构建Python开发环境的Docker镜像，并使用PyCharm连接Docker镜像进行开发测试。
docker_image_demo
该项目用于显示如何使用Docker进行镜像打包，用于初学者入门。
document_reviewer
常见文档格式的预览，比如txt,log,csv,image,pdf,markdown,python,html等。
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