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machinelearning-deeplearning-nlp-leetcode-statisticallearningmethod-tensorflow icon machinelearning-deeplearning-nlp-leetcode-statisticallearningmethod-tensorflow

最近在学习机器学习,深度学习,自然语言处理,统计学习方法等知识,理论学习主要根据readme的链接,在学习理论的同时,决定自己将学习的相关算法用Python实现一遍,并结合GitHub上相关大牛的代码进行改进,本项目会不断的更新相关算法,欢迎star,fork和关注。 主要包括: 1.吴恩达Andrew Ng老师的机器学习课程作业个人笔记 Python实现, 2.deeplearning.ai(吴恩达老师的深度学习课程笔记及资源) Python实现, 3.李航《统计学习方法》 Python代码实现, 4.自然语言处理NLP 牛津大学xDeepMind Python代码实现, 5.LeetCode刷题,题析,分析心得笔记 Java和Python代码实现, 6.TensorFlow人工智能实践代码笔记 北京大学曹健老师课程和TensorFlow:实战Google深度学习框架(第二版) Python代码实现, 附带一些个人心得和笔记。GitHub上有很多机器学习课程的代码资源,我也准备自己实现一下,后续会更新笔记,代码和百度云网盘链接。 这个项目主要是学习算法的,并且会不断更新相关资源和代码,欢迎关注,star,fork! Min's blog 欢迎访问我的博客主页! (Welcome to my blog website !)https://liweimin1996.github.io/

miniflow icon miniflow

Minimal numerical computation library with TensorFlow APIs

ml-in-action-code-and-note icon ml-in-action-code-and-note

:chart_with_upwards_trend:Machine Learning code in Python3.x. (机器学习实战 py3代码整理)Some notes about the practices:(for reference only)

neural-question-generation icon neural-question-generation

pytorch implmentation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nndl.github.io icon nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

nqg icon nqg

Code for the paper "Neural Question Generation from Text: A Preliminary Study"

nqg-1 icon nqg-1

neural question generation for reading comprehension

open_qg icon open_qg

开源QG系统(Question Generation,问题生成),基于Pytorch和Transformer编写

proxyee-down icon proxyee-down

http下载工具,基于http代理,支持多连接分块下载

pumpkin-book icon pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

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