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(2000+页)和视频链接
☆9,641Mar 4, 2026Updated last month
Alternatives and similar repositories for machine-learning-notes
Users that are interested in machine-learning-notes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆5,227Apr 13, 2020Updated 5 years ago
- 《统计学习方法》的代码实现☆19,554Aug 22, 2023Updated 2 years ago
- PRML algorithms implemented in Python☆11,720Apr 5, 2025Updated last year
- 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…☆57,299Jun 26, 2024Updated last year
- 南瓜书:《机器学习》(西瓜书)公式详解☆25,748Mar 26, 2026Updated 2 weeks ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning☆18,744Oct 7, 2022Updated 3 years ago
- Deep Learning Book Chinese Translation☆37,225Dec 3, 2019Updated 6 years ago
- 手写实现李航《统计学习方法》书中全部算法☆11,602Nov 25, 2025Updated 4 months 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。☆76,890Jul 30, 2024Updated last year
- Must-read papers on graph neural networks (GNN)☆16,735Dec 20, 2023Updated 2 years ago
- Machine learning, in numpy☆16,301Oct 29, 2023Updated 2 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。☆19,357Oct 14, 2021Updated 4 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]☆6,290Aug 5, 2023Updated 2 years ago
- PyTorch Tutorial for Deep Learning Researchers☆32,257Aug 15, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 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☆5,834Apr 29, 2019Updated 6 years ago
- deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)☆20,430Apr 29, 2022Updated 3 years ago
- 机器学习算法的公式推导以及numpy实现☆2,119May 2, 2023Updated 2 years ago
- Matlab code of machine learning algorithms in book PRML☆6,206Mar 4, 2020Updated 6 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!☆7,696Feb 26, 2022Updated 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☆16,459Nov 23, 2025Updated 4 months ago
- The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。☆2,725Dec 30, 2025Updated 3 months ago
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆16,462Feb 1, 2026Updated 2 months ago
- 吴恩达老师的机器学习课程个人笔记☆36,655Aug 25, 2025Updated 7 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2