python进阶学习资源

朴灿烈づ我的快乐病毒、 2022-05-19 03:04 274阅读 0赞

主要整理深度和自然学习的一些资源

1、python中图像处理

### scikit-image ， tf ，open cv, pil ###

2、python提高速度：多进程

**参考资料**

[python多进程编程常用到的方法][python]  http://www.cnblogs.com/yangmingxianshen/p/7931564.html

[python——进程池][python 1]     http://www.cnblogs.com/yangmingxianshen/p/7931564.html

为什么有人说 Python 多线程是鸡肋？  https://foofish.net/thread.html

3、python动态模块加载

类同：C 语言中可以使用 dlopen，dlsym 和 dlclose

参考文档：

https://blog.csdn.net/AlexWoo0501/article/details/51046251

4、python中自然语言处理

a)crf

sklearn-crfsuite  https://sklearn-crfsuite.readthedocs.io/en/latest/

python-crfsuite  [https://github.com/scrapinghub/python-crfsuite][https_github.com_scrapinghub_python-crfsuite]  
基于条件随机场的医疗电子病例的命名实体识别 [https://github.com/baiyyang/medical\_ner\_crfsuite][https_github.com_baiyyang_medical_ner_crfsuite]

b)BiLSTM-*CRF（GitHub star最高的4个项目）*

[liu-nlper/NER-*LSTM*\-*CRF*][liu-nlper_NER-_LSTM_-_CRF]

[scofield7419/sequence-labeling-*BiLSTM*\-*CRF*][scofield7419_sequence-labeling-_BiLSTM_-_CRF]

[LopezGG/NN\_NER\_tensorFlow][LopezGG_NN_NER_tensorFlow]

[rguthrie3/*BiLSTM*\-*CRF*][rguthrie3_BiLSTM_-_CRF]

c)关系抽取

关键字： text  relation extract

[sunilitggu/*relation*\_extraction\_in\_clinical\_*text*][sunilitggu_relation_extraction_in_clinical_text]     cnn关系抽取

注：其余项目为非python项目

关键字：text extract

[dbpedia/fact-*extractor*][dbpedia_fact-_extractor]    Fact Extraction from Wikipedia *Text*

[attardi/wikiextractor][attardi_wikiextractor]        A tool for *extracting* plain *text* from Wikipedia dumps

### [deanmalmgren][]/**[textract][]   extract text from any document. no muss. no fuss.** ###

d)NLU

关键词： nlu

[RasaHQ/rasa\_*nlu*][RasaHQ_rasa_nlu]      turn natural language into structured data

> 官方地址：https://nlu.rasa.ai/
> 
> 用Rasa NLU构建自己的中文NLU系统   https://blog.csdn.net/qfire/article/details/78964212

[snipsco/snips-*nlu*][snipsco_snips-_nlu]     Snips Python library to extract meaning from text

[HadoopIt/rnn-*nlu*][HadoopIt_rnn-_nlu]             A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

[crownpku/Rasa\_*NLU*\_Chi][crownpku_Rasa_NLU_Chi]   Turn Chinese natural language into structured data 中文自然语言理解

5、自然语言相关的博客

https://blog.csdn.net/qfire   Just for fun的专栏

[https://www.ics.uci.edu/~brgallar/index.html\#weekNine][https_www.ics.uci.edu_brgallar_index.html_weekNine]     uci上的入门教程，pvm讲解的很好

[https://www.lfd.uci.edu/~gohlke/pythonlibs/][https_www.lfd.uci.edu_gohlke_pythonlibs]   [Unofficial Windows Binaries for Python Extension Packages][https_www.lfd.uci.edu_gohlke_pythonlibs]

6、python的ETL工具

pygramet

pyetl

7、深度学习框架比较

比较全的介绍

主流深度学习框架对比    https://blog.csdn.net/zuochao\_2013/article/details/56024172

典型的框架包括： TensorFlow、Caffe、Keras、CNTK、Torch7、MXNet、Leaf、Theano、DeepLearning4、Lasagne、Neon，当前看TensorFlow是一骑绝尘

[python]: https://www.cnblogs.com/yangmingxianshen/p/7929976.html
[python 1]: https://www.cnblogs.com/yangmingxianshen/p/7931564.html
[https_github.com_scrapinghub_python-crfsuite]: https://github.com/scrapinghub/python-crfsuite
[https_github.com_baiyyang_medical_ner_crfsuite]: https://github.com/baiyyang/medical_ner_crfsuite
[liu-nlper_NER-_LSTM_-_CRF]: https://github.com/liu-nlper/NER-LSTM-CRF
[scofield7419_sequence-labeling-_BiLSTM_-_CRF]: https://github.com/scofield7419/sequence-labeling-BiLSTM-CRF
[LopezGG_NN_NER_tensorFlow]: https://github.com/LopezGG/NN_NER_tensorFlow
[rguthrie3_BiLSTM_-_CRF]: https://github.com/rguthrie3/BiLSTM-CRF
[sunilitggu_relation_extraction_in_clinical_text]: https://github.com/sunilitggu/relation_extraction_in_clinical_text
[dbpedia_fact-_extractor]: https://github.com/dbpedia/fact-extractor
[attardi_wikiextractor]: https://github.com/attardi/wikiextractor
[deanmalmgren]: https://github.com/deanmalmgren
[textract]: https://github.com/deanmalmgren/textract
[RasaHQ_rasa_nlu]: https://github.com/RasaHQ/rasa_nlu
[snipsco_snips-_nlu]: https://github.com/snipsco/snips-nlu
[HadoopIt_rnn-_nlu]: https://github.com/HadoopIt/rnn-nlu
[crownpku_Rasa_NLU_Chi]: https://github.com/crownpku/Rasa_NLU_Chi
[https_www.ics.uci.edu_brgallar_index.html_weekNine]: https://www.ics.uci.edu/~brgallar/index.html#weekNine
[https_www.lfd.uci.edu_gohlke_pythonlibs]: https://www.lfd.uci.edu/~gohlke/pythonlibs/