CaterpillarStudyGroup / LiuYuBo_ML_pagesLinks
☆23Updated 3 years ago
Alternatives and similar repositories for LiuYuBo_ML_pages
Users that are interested in LiuYuBo_ML_pages are comparing it to the libraries listed below
Sorting:
- A jupyter notebook based on Scikit-Learn and TensorFlow 2.0 with Chinese comment that takes you through the basics of machine learning an…☆30Updated 4 years ago
- 30天掌握Tensorflow2.1 Jupyter Notebook 版☆60Updated 4 years ago
- ApacheCN 深度学习译文集☆836Updated 2 years ago
- [译] ApacheCN 短篇集☆63Updated 5 years ago
- 《深度学习》花书手推笔记☆508Updated 5 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☆60Updated 4 years ago
- [译] ApacheCN 数据科学译文集☆319Updated 3 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。☆1,660Updated 3 weeks ago
- 吴恩达《深度学习》学习笔记(xmind)、代码视频讲解☆466Updated 5 years ago
- [译] MachineLearningMastery 博客文章☆772Updated 10 months ago
- Mathematical derivation and pure Python code implementation of machine learning algorithms.☆1,548Updated last year
- 本人多次机器学习与大数据竞赛Top5的经验总结,满满的干货,拿好不谢☆399Updated 4 years ago
- 《机器学习宝典》包含:谷歌机器学习速成课程(招式)+机器学习术语表(口诀)+机器学习规则(心得)+机器学习中的常识性问题 (内功)。该资源适用于机器学习、深度学习研究人员和爱好者参考!☆1,140Updated 5 years ago
- 主要存储Datawhale组队学习中“编程、数据结构与算法”方向的资料。☆839Updated 2 years ago
- [译] fast.ai 机器学习和深度学习中文笔记☆419Updated 4 years ago
- A practical feature engineering handbook☆333Updated 5 years ago
- AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP☆70Updated 6 years ago
- 算法之python实践【刷题篇】☆40Updated 7 years ago
- DeepLearning and CV notes.☆350Updated 3 years ago
- open source for wechat-official-account (ID: PyDataLab)☆382Updated 3 years ago
- Matplotlib中文教程,在线阅读地址:https://datawhalechina.github.io/fantastic-matplotlib/☆523Updated 3 years ago
- ☆419Updated 4 years ago
- 《机器学习:软件工程方法与实现》Method and implementation of machine learning software engineering☆187Updated 2 years ago
- reading resources for IT including full stack, AI, etc.☆14Updated 3 years ago
- 基于Tensorflow2的深度学习开源书籍☆345Updated 5 years ago
- ☆334Updated last year
- Infographic☆740Updated 5 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…☆172Updated 6 years ago
- B站课程代码☆146Updated 5 years ago
- ☆33Updated 3 years ago