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
☆9,645Mar 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:
- ☆5,233Apr 13, 2020Updated 6 years ago
- 《统计学习方法》的代码实现☆19,579Aug 22, 2023Updated 2 years ago
- PRML algorithms implemented in Python☆11,718Apr 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…☆57,340Jun 26, 2024Updated last year
- 南瓜书:《机器学习》(西瓜书)公式详解☆25,786Updated this week
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- 《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning☆18,771Oct 7, 2022Updated 3 years ago
- Deep Learning Book Chinese Translation☆37,245Dec 3, 2019Updated 6 years ago
- 手写实现李航《统计学习方法》书中全部算法☆11,612Nov 25, 2025Updated 5 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。☆77,395Jul 30, 2024Updated last year
- Must-read papers on graph neural networks (GNN)☆16,748Dec 20, 2023Updated 2 years ago
- Machine learning, in numpy☆16,336Oct 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。☆19,372Oct 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]☆6,289Aug 5, 2023Updated 2 years ago
- PyTorch Tutorial for Deep Learning Researchers☆32,294Aug 15, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 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☆5,835Apr 29, 2019Updated 6 years ago
- deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)☆20,492Apr 29, 2022Updated 3 years ago
- 机器学习算法的公式推导以及numpy实现☆2,122May 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!☆7,703Feb 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☆16,503Nov 23, 2025Updated 5 months ago
- The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。☆2,729Dec 30, 2025Updated 3 months ago
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆16,482Feb 1, 2026Updated 2 months ago
- 吴恩达老师的机器学习课程个人笔记☆36,771Aug 25, 2025Updated 8 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2☆42,209Nov 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☆21,618Jul 25, 2024Updated last year
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆39,490Nov 27, 2022Updated 3 years ago
- A collection of various deep learning architectures, models, and tips☆17,470Feb 8, 2024Updated 2 years ago
- Intro to Reinforcement Learning (强化学习纲要)☆3,577Jul 25, 2020Updated 5 years ago
- Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials…☆14,326Feb 18, 2025Updated last year
- 深度学习经典、新论文逐段精读☆32,919Mar 22, 2025Updated last year
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆23,862Sep 1, 2025Updated 7 months 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.☆13,261Aug 30, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆7,057Feb 26, 2026Updated 2 months ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,632Aug 9, 2024Updated last year
- Graph Neural Network Library for PyTorch☆23,700Apr 18, 2026Updated last week
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆159,742Updated this week
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,782Jul 26, 2024Updated last year
- Natural Language Processing Tutorial for Deep Learning Researchers☆14,886Feb 21, 2024Updated 2 years ago
- Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著☆7,844Oct 6, 2022Updated 3 years ago