致力于将李航博士《统计学习方法》一书中所有算法实现一遍
☆5,836Apr 29, 2019Updated 6 years ago
Alternatives and similar repositories for lihang_book_algorithm
Users that are interested in lihang_book_algorithm are comparing it to the libraries listed below
Sorting:
- 《统计学习方法》笔记-基于Python算法实现☆2,155Jan 9, 2018Updated 8 years ago
- 《统计学习方法》的代码实现☆19,546Aug 22, 2023Updated 2 years ago
- Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]☆6,283Aug 5, 2023Updated 2 years ago
- 南瓜书:《机器学习》(西瓜书)公式详解☆25,659Jan 21, 2026Updated last month
- 手写实现李航《统计学习方法》书中全部算法☆11,589Nov 25, 2025Updated 3 months ago
- 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、 深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系sc…☆57,164Jun 26, 2024Updated last year
- 《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning☆18,713Oct 7, 2022Updated 3 years ago
- AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2☆42,051Nov 12, 2024Updated last year
- deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)☆20,272Apr 29, 2022Updated 3 years ago
- 吴恩达老师的机器学习课程个人笔记☆36,348Aug 25, 2025Updated 6 months ago
- Deep Learning Book Chinese Translation☆37,205Dec 3, 2019Updated 6 years ago
- PRML algorithms implemented in Python☆11,720Apr 5, 2025Updated 10 months ago
- 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。☆19,317Oct 14, 2021Updated 4 years ago
- 周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!☆7,668Feb 26, 2022Updated 4 years ago
- Interview = 简历指南 + 算法题 + 八股文 + 源码分析☆8,950Oct 20, 2023Updated 2 years ago
- pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行☆21,558Jul 25, 2024Updated last year
- ☆5,228Apr 13, 2020Updated 5 years ago
- 《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。☆75,857Jul 30, 2024Updated last year
- Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版,算法实现。☆861Feb 9, 2021Updated 5 years ago
- [译] 面向机器学习的特征工程☆2,552Aug 25, 2023Updated 2 years ago
- Machine learning, in numpy☆16,276Oct 29, 2023Updated 2 years ago
- 周志华《机器学习》手推笔记☆3,761Mar 13, 2021Updated 4 years ago
- Data competition Top Solution 数据竞赛top解决方案开源整理☆3,376Nov 13, 2020Updated 5 years ago
- 数据科学的笔记以及资料搜集☆8,530Aug 16, 2021Updated 4 years ago
- The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。☆2,712Dec 30, 2025Updated 2 months ago
- My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义…☆9,591Jan 11, 2026Updated last month
- 机器学习算法python实现☆8,361May 20, 2024Updated last year
- [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题,网站已下线!!】☆3,848Aug 9, 2021Updated 4 years ago
- 《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases☆16,344Nov 23, 2025Updated 3 months ago
- PyTorch Tutorial for Deep Learning Researchers☆32,199Aug 15, 2023Updated 2 years ago
- PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)☆12,825Dec 24, 2023Updated 2 years ago
- A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译☆3,440Mar 1, 2022Updated 4 years ago
- Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著☆7,852Oct 6, 2022Updated 3 years ago
- Matlab code of machine learning algorithms in book PRML☆6,203Mar 4, 2020Updated 5 years ago
- ☆2,779Mar 1, 2020Updated 6 years ago
- 深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.☆13,280Aug 30, 2021Updated 4 years ago
- 此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。☆17,501Jan 9, 2026Updated last month
- 机器学习方法习题解答,在线阅读地址:https://datawhalechina.github.io/statistical-learning-method-solutions-manual☆2,022Feb 21, 2026Updated last week
- NLP上手教程☆6,242May 23, 2021Updated 4 years ago