roboticcam / machine-learning-notesLinks
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
☆8,746Updated last year
Alternatives and similar repositories for machine-learning-notes
Users that are interested in machine-learning-notes are comparing it to the libraries listed below
Sorting:
- ☆5,218Updated 5 years ago
- 《统计学习方法》的代码实现☆19,521Updated 2 years 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☆5,826Updated 6 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]☆6,248Updated 2 years ago
- My blogs and code for machine learning. http://cnblogs.com/pinard☆8,655Updated last year
- 手写实现李航《统计学习方法》书中全部算法☆11,532Updated this week
- 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.☆13,271Updated 4 years ago
- 数据科学的笔记以及资料搜集☆8,489Updated 4 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》)☆12,732Updated last year
- Machine learning, in numpy☆16,200Updated 2 years ago
- The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。☆2,650Updated 2 months 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！☆7,611Updated 3 years ago
- TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实…☆6,387Updated 5 years ago
- 机器学习算法的公式推导以及numpy实现☆2,113Updated 2 years ago
- Homepage for STAT 157 at UC Berkeley☆3,905Updated 4 years ago
- 周志华《机器学习》手推笔记☆3,737Updated 4 years ago
- 《迁移学习简明手册》LaTex源码☆2,535Updated 2 years ago
- The basic distribution probability Tutorial for Deep Learning Researchers☆1,640Updated 5 years ago
- 《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码☆4,641Updated 6 years ago
- 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☆7,445Updated 5 years ago
- 《统计学习方法》笔记-基于Python算法实现☆2,143Updated 7 years ago
- 机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归☆10,089Updated last year
- 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。☆17,338Updated 3 years ago
- Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著☆7,835Updated 3 years ago
- ☆2,774Updated 5 years ago
- Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials…☆14,168Updated 9 months ago
- 《机器学习》（西瓜书）公式详解☆25,454Updated 5 months ago
- [译] 面向机器学习的特征工程☆2,549Updated 2 years ago
- 深度学习入门教程, 优秀文章, Deep Learning Tutorial☆16,870Updated 3 years ago
- Machine learning resources☆3,708Updated last year