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]
☆6,332Aug 5, 2023Updated 3 years ago
Alternatives and similar repositories for Lihang
Users that are interested in Lihang are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 《统计学习方法》的代码实现☆19,608Oct 5, 2026Updated 3 weeks ago
- 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 7 years ago
- 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
- 手写实现李航《统计学习方法》书中全部算法☆11,652Nov 25, 2025Updated 11 months ago
- 南瓜书：《机器学习》（西瓜书）公式详解☆26,150Apr 22, 2026Updated 6 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 《统计学习方法》笔记-基于Python算法实现☆2,200Aug 12, 2026Updated 2 months ago
- 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☆2,090May 8, 2026Updated 5 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…☆57,704Jun 26, 2024Updated 2 years ago
- 邱锡鹏《神经网络与深度学习》第二版与通识版：电子书、章节目录、学习资源与勘误。☆19,551Sep 6, 2026Updated last month
- 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！☆7,799Feb 26, 2022Updated 4 years 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。☆19,525Oct 14, 2021Updated 5 years ago
- AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2☆42,618Nov 12, 2024Updated last year
- deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）☆21,209Oct 5, 2026Updated 3 weeks ago
- 吴恩达老师的机器学习课程个人笔记☆38,072Oct 5, 2026Updated 3 weeks ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- PRML algorithms implemented in Python☆11,734Apr 5, 2025Updated last year
- ☆5,263Apr 13, 2020Updated 6 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。☆82,214Jul 30, 2024Updated 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☆21,741Jul 25, 2024Updated 2 years ago
- 周志华《机器学习》手推笔记☆3,788Mar 13, 2021Updated 5 years ago
- Deep Learning Book Chinese Translation☆37,985Dec 3, 2019Updated 6 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☆16,849Oct 23, 2026Updated last week
- 数据科学的笔记以及资料搜集☆8,615Oct 5, 2026Updated 3 weeks ago
- ✒统计学习方法第二版（李航） 学习笔记、代码实现、课后习题☆366Jul 23, 2019Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Machine learning, in numpy☆16,324Oct 29, 2023Updated 3 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。☆17,843Jan 9, 2026Updated 9 months ago
- Interview = 简历指南 + 算法题 + 八股文 + 源码分析☆8,983Oct 20, 2023Updated 3 years ago
- Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著☆7,845Oct 6, 2022Updated 4 years ago
- The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。☆2,796Sep 22, 2026Updated last month
- 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.☆13,200Aug 30, 2021Updated 5 years ago
- [译] 面向机器学习的特征工程☆2,561Aug 25, 2023Updated 3 years 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…☆10,387Jul 8, 2026Updated 3 months ago
- 《大模型与智能体》电子书与 6 个编程任务：Transformer、mini-GPT、SFT/DPO、RAG、工具调用与编程智能体。☆6,857Sep 6, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现☆7,810Jun 23, 2020Updated 6 years ago
- 《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。☆1,737Sep 9, 2026Updated last month
- 机器学习算法的公式推导以及numpy实现☆2,129May 2, 2023Updated 3 years ago
- 《神经网络与深度学习：案例与实践》第二版：10 章 PyTorch 实践、Notebook、测试与电子书。☆3,562Sep 7, 2026Updated last month
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆16,733Sep 22, 2026Updated last month
- Data competition Top Solution 数据竞赛top解决方案开源整理☆3,369Nov 13, 2020Updated 5 years ago
- PyTorch Tutorial for Deep Learning Researchers☆32,522Aug 15, 2023Updated 3 years ago