机器学习初学者公众号作品
☆2,353Mar 21, 2021Updated 5 years ago
Alternatives and similar repositories for machine_learning_beginner
Users that are interested in machine_learning_beginner are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 数据科学的笔记以及资料搜集☆8,582Aug 16, 2021Updated 4 years ago
- 《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book☆101Apr 3, 2019Updated 7 years ago
- 记录Learning from data一书中的习题解答☆78Jun 28, 2019Updated 7 years ago
- deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）☆20,973Apr 29, 2022Updated 4 years ago
- 《统计学习方法》的代码实现☆19,590Aug 22, 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.
- 吴恩达老师的机器学习课程个人笔记☆37,557Aug 25, 2025Updated 11 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…☆173Apr 4, 2019Updated 7 years ago
- AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP☆71Apr 18, 2019Updated 7 years ago
- PaddlePaddle Tutorial for Deep Learning Researchers.☆28Jul 10, 2019Updated 7 years ago
- A collection of popular Data Science Competitions☆55Nov 24, 2018Updated 7 years ago
- 本项目对中文版《动手学深度学习》中的代码进行了整理☆59Jan 22, 2021Updated 5 years ago
- 温州大学《机器学习》课程资料（代码、课件等）☆2,080Sep 25, 2025Updated 10 months ago
- 一群 ML 自学者的日常☆60Nov 10, 2019Updated 6 years ago
- 南瓜书：《机器学习》（西瓜书）公式详解☆25,985Apr 22, 2026Updated 3 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Jupyter notebooks for using & learning Keras☆2,195Dec 19, 2018Updated 7 years ago
- AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2☆42,454Nov 12, 2024Updated last year
- 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☆21,674Jul 25, 2024Updated 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]☆6,309Aug 5, 2023Updated 3 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。☆19,464Oct 14, 2021Updated 4 years ago
- 100 numpy exercises (with solutions)☆14,360Jul 24, 2026Updated 2 weeks 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.☆13,216Aug 30, 2021Updated 4 years ago
- 周志华《机器学习》手推笔记☆3,780Mar 13, 2021Updated 5 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☆16,725Nov 23, 2025Updated 8 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- 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…☆57,529Jun 26, 2024Updated 2 years ago
- [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】☆3,779Aug 9, 2021Updated 5 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！☆7,768Feb 26, 2022Updated 4 years ago
- 记录Learning from data一书中的习题解答☆999May 15, 2019Updated 7 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☆5,829Apr 29, 2019Updated 7 years ago
- 邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版☆19,037Jun 1, 2026Updated 2 months ago
- tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials☆7,782Dec 9, 2020Updated 5 years ago
- 天池竞赛-智慧海洋开源代码☆56Jun 3, 2020Updated 6 years ago
- 机器学习算法python实现☆8,575May 20, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- 《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。☆79,633Jul 30, 2024Updated 2 years ago
- 《统计学习方法》笔记-基于Python算法实现☆2,176Updated this week
- 100-Days-Of-ML-Code中文版☆22,233Apr 6, 2022Updated 4 years ago
- Interview = 简历指南 + 算法题 + 八股文 + 源码分析☆8,963Oct 20, 2023Updated 2 years ago
- [译] 面向机器学习的特征工程☆2,565Aug 25, 2023Updated 2 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☆10,367Jul 12, 2024Updated 2 years ago
- Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著☆7,846Oct 6, 2022Updated 3 years ago