《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
☆4,904Nov 28, 2023Updated 2 years ago
Alternatives and similar repositories for InterpretableMLBook
Users that are interested in InterpretableMLBook are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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☆7,601Jun 23, 2020Updated 5 years ago
- Book about interpretable machine learning☆5,263Jan 15, 2026Updated 2 months ago
- 南瓜书：《机器学习》（西瓜书）公式详解☆25,757Apr 6, 2026Updated last 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.☆13,259Aug 30, 2021Updated 4 years ago
- 《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
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- 手写实现李航《统计学习方法》书中全部算法☆11,606Nov 25, 2025Updated 4 months ago
- Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋☆9,956Sep 22, 2022Updated 3 years ago
- 《统计学习方法》的代码实现☆19,566Aug 22, 2023Updated 2 years 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…☆57,299Jun 26, 2024Updated last year
- 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。☆19,360Oct 14, 2021Updated 4 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。☆76,890Jul 30, 2024Updated last year
- Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著☆7,849Oct 6, 2022Updated 3 years ago
- 《统计学习方法》的代码实现☆89Dec 30, 2018Updated 7 years ago
- Deep Learning Book Chinese Translation☆37,225Dec 3, 2019Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Learning Convolutional Neural Networks with Interactive Visualization.☆8,912Oct 14, 2023Updated 2 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
- 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☆21,608Jul 25, 2024Updated last year
- 数据科学的笔记以及资料搜集☆8,538Aug 16, 2021Updated 4 years ago
- 吴恩达老师的机器学习课程个人笔记☆36,655Aug 25, 2025Updated 7 months ago
- Crack LeetCode, not only how, but also why.☆133,235Feb 28, 2026Updated last month
- 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]☆6,288Aug 5, 2023Updated 2 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
- Machine learning, in numpy☆16,301Oct 29, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2☆42,181Nov 12, 2024Updated last year
- 周志华《机器学习》手推笔记☆3,768Mar 13, 2021Updated 5 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TensorFlow 2.0实现，项目已得到李沐老师的认可☆3,833Mar 17, 2023Updated 3 years ago
- 简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程☆3,943Mar 21, 2023Updated 3 years ago
- 《迁移学习简明手册》LaTex源码☆2,544May 2, 2023Updated 2 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…☆9,641Mar 4, 2026Updated last month
- 《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。☆1,688Mar 31, 2026Updated last week
- 🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.☆17,063Feb 13, 2023Updated 3 years ago
- AI education materials for Chinese students, teachers and IT professionals.☆14,059May 16, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- pandas中文教程☆5,115Apr 24, 2024Updated last year
- [译] 面向机器学习的特征工程☆2,553Aug 25, 2023Updated 2 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
- 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
- 100-Days-Of-ML-Code中文版☆22,231Apr 6, 2022Updated 4 years ago
- PRML algorithms implemented in Python☆11,720Apr 5, 2025Updated 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。☆17,613Jan 9, 2026Updated 3 months ago