econti / cs229Links
Stanford CS229 (Autumn 2017)
☆364Updated 7 years ago
Alternatives and similar repositories for cs229
Users that are interested in cs229 are comparing it to the libraries listed below
Sorting:
- Implementation of algorithms introduced in CS229.☆385Updated 3 years ago
- 张志华机器学习导论 MOOC 讲义☆129Updated 3 years ago
- Statistical Learning Theory (CS229T) Lecture Notes☆717Updated 5 years ago
- A Chinese Notes of MLAPP,MLAPP 中文笔记项目 https://zhuanlan.zhihu.com/python-kivy☆364Updated 4 years ago
- A tool library of classical machine learning algorithms with only numpy.☆223Updated 4 years ago
- ☆110Updated 7 years ago
- 台大机器学习课程作业详解☆299Updated 6 years ago
- 李航《统计学习方法》中机器学习模型的LaTeX公式笔记☆160Updated 6 years ago
- 斯坦福 cs231n 作业代码实践☆642Updated 2 years ago
- ☆171Updated 6 years ago
- Some work of Andrew Ng's course on Coursera☆708Updated 6 years ago
- 机器学习基石和机器学习技法作业☆118Updated 6 years ago
- Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition☆380Updated 3 years ago
- 常见的机器学习参考资料,包括书籍、公开课等☆436Updated 4 years ago
- Assignment 1: automatic differentiation☆473Updated 5 years ago
- Source Code for Machine Learning in Action for Python 3.X☆359Updated 5 years ago
- it contains all my python demo code accompanying my machine learning notes☆81Updated 8 months ago
- ☆69Updated 8 years ago
- Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University☆153Updated 2 years ago
- Collaborative lecture notes for Spring '19 NYU DL class☆119Updated 5 years ago
- 吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course☆1,022Updated 3 years ago
- Coursera 机器学习基石 机器学习技法 林轩田 课堂PPT、作业及课堂笔记。☆161Updated 6 years ago
- Completed the CS231n 2017 spring assignments from Stanford university☆601Updated 2 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆287Updated 7 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆301Updated 5 years ago
- DeepLearning.ai课程学习Jupyter Notebook作业☆582Updated 4 years ago
- lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"☆149Updated 5 years ago
- 作業分享:台大李宏毅 (Hung-Yi Lee) 教授的Machine Learning (2016, Fall)☆168Updated 4 years ago
- NYU Data Science Course DSGA-1003 Machine Learning Assignments.☆31Updated 8 years ago
- Attempting to make the Deep Learning Book easier to understand.☆1,080Updated 6 years ago