Pinned Repositories
a_journey_into_math_of_ml
汉语自然语言处理视频教程-开源学习资料
book
Deep Learning 101 with PaddlePaddle （深度学习框架入门教程）
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
Coursera-ML-using-matlab-python
coursera吴恩达机器学习课程作业自写Python版本+Matlab原版
Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
deeplearning.ai
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
Demo
JD_NLP
《贪心学院-京东nlp》项目实战，学习笔记。
models
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
NLP_basis
这是我学习一个NLP教程【2019最新AI 自然语言处理之深度机器学习顶级项目实战课程】做的笔记与代码
candyYangJun's Repositories
candyYangJun/JD_NLP
《贪心学院-京东nlp》项目实战，学习笔记。
candyYangJun/a_journey_into_math_of_ml
汉语自然语言处理视频教程-开源学习资料
candyYangJun/book
Deep Learning 101 with PaddlePaddle （深度学习框架入门教程）
candyYangJun/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
candyYangJun/Coursera-ML-using-matlab-python
coursera吴恩达机器学习课程作业自写Python版本+Matlab原版
candyYangJun/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
candyYangJun/deeplearning.ai
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
candyYangJun/Demo
candyYangJun/models
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
candyYangJun/NLP_basis
这是我学习一个NLP教程【2019最新AI 自然语言处理之深度机器学习顶级项目实战课程】做的笔记与代码
candyYangJun/npl_class_NPLyingyong
NPL课程 - 自然语言应用处理班 课件和源码
candyYangJun/NTU_ML2017_Hung-yi-Lee_HW
NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业
candyYangJun/Play-with-Algorithms
Codes of my MOOC Course <Play with Algorithms>, Both in C++ and Java language. Updated contents and practices are also included. 我在慕课网上的课程《算法与数据结构》示例代码，包括C++和Java版本。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
candyYangJun/Play-with-Machine-Learning-Algorithms
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
candyYangJun/py4e-cn
www.py4e.com 和 Python 3.0 书的源码
candyYangJun/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
candyYangJun/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
candyYangJun/tensorflow-101
《TensorFlow 快速入门与实战》课件与参考代码
candyYangJun/test1
test remote repository
candyYangJun/test2
test for remote repo by IDE