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ml-road

Machine Learning and Agentic AI Resources, Practice and Research

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创建于 2017-10-31 · 更新于 2026-10-16 · 今日第 4637 名
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yanshengjia/ml-road 排名第 4,637,有 4,961 个星标。

同类别比较

yanshengjia/ml-road 排名第 4,637,此处有 8 个同类条目;nibzard/awesome-agentic-patterns 排名第 4,629。

同类别比较
名称排名指标
ombharatiya/FAANG-Coding-Interview-Questions4,555
星标数:
6,055
分叉数:
1,439
简介:
A curated List of Coding Questions Asked in FAANG Interviews
xlite-dev/Awesome-LLM-Inference4,591
语言:
Python
星标数:
5,533
分叉数:
438
简介:
📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉
filipecalegario/awesome-vibe-coding4,602
星标数:
5,326
分叉数:
757
简介:
A curated list of vibe coding references, collaborating with AI to write code.
nibzard/awesome-agentic-patterns4,629
语言:
HTML
星标数:
5,035
分叉数:
477
简介:
A curated catalogue of awesome agentic AI patterns
alvinreal/awesome-opensource-ai4,646
语言:
Python
星标数:
4,891
分叉数:
712
简介:
Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
LantaoYu/MARL-Papers4,647
星标数:
4,889
分叉数:
767
简介:
Paper list of multi-agent reinforcement learning (MARL)
r0f1/datascience4,668
星标数:
4,680
分叉数:
717
简介:
Curated list of Python resources for data science.
GT-RIPL/Awesome-LLM-Robotics4,682
星标数:
4,488
分叉数:
351
简介:
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
关键参数与规格
关键参数与规格
参数值
语言Python
类别Lists
子类别Tool collections
星标数4,961
分叉数1,722
贡献者1
创建日期2017-10-31
更新日期2026-10-16
1 天星标数1
7 天星标数7
排名4,637
上次排名7,618
排名变化2,981
7 天星标排名4,622
上次 7 天星标排名4,986
7 天星标排名变化364
总星标排名2,827
上次总星标排名2,822
总星标排名变化-5
国家USA
README 摘录

Martin | [[Homepage]]( | NLP | | Neural Network Methods for Natural Language Processing | Yoav Goldberg | [[PDF]]( | NLP | | 统计学习方法 | 李航 | [[Amazon]]( | Machine Learning | | Natural Language Processing | Jacob Eisenstein | [[PDF]]( | NLP | | Dive into Deep Learning 动手学深度学习 | Aston Zhang, Mu Li, Zachary C.

常见问题

记录了多少星标和分叉?

yanshengjia/ml-road 有 4,961 个星标和 1,722 个分叉。

仓库排名是多少?

yanshengjia/ml-road 排名第 4,637。

记录的语言和类别是什么?

yanshengjia/ml-road 有 4,961 个星标,语言为 Python,类别为 Lists。

哪个仓库排名最接近?

yanshengjia/ml-road 与 nibzard/awesome-agentic-patterns 比较,后者排名第 4,629,有 5,035 个星标。

README

Machine Learning Road

Machine Learning and Agentic AI Resources, Practice and Research.

Disclamier

The resources in this repo are only for educational purpose. Do not use resources in this repo for any form of commercial purpose.

If the author of ebook found your intelligence proprietary violated because of contents in this repo, please contact me and I will remove relevant stuff ASAP.


Courses

Course Name Institution Lecturer Link Category
Machine Learning Coursera Andrew Ng [Coursera][Bilibili][Youtube] Machine Learning
Machine Learning Foundations National Taiwan University Hsuan-Tien Lin [Bilibili][Youtube] Machine Learning
Machine Learning Techniques National Taiwan University Hsuan-Tien Lin [Bilibili][Youtube] Machine Learning
Machine Learning Stanford Andrew Ng [Netease][Youtube] Machine Learning
Deep Learning deeplearning.ai Andrew Ng [Netease][Coursera] Deep Learning
CS231n: Convolutional Neural Networks for Visual Recognition Stanford Fei-Fei Li [Homepage][Youtube] Deep Learning, Computer Vision
CS224n: Natural Language Processing with Deep Learning Stanford Christopher Manning [Homepage][Youtube] Deep Learning, NLP
Deep Learning for Natural Language Processing Oxford University Phil Blunsom [Homepage][Slides] Deep Learning, NLP
Applied Deep Learning / Machine Learning and Having It Deep and Structured National Taiwan University Yun-Nung Chen, Hung-Yi Lee [Homepage][Youtube] Machine Learning, Deep Learning
CS 20: TensorFlow for Deep Learning Research Stanford Chip Huyen [Homepage][Github] Deep Learning
CS 294: Deep Reinforcement Learning UC Berkeley Sergey Levine [Homepage][Youtube] Deep Learning, Reinforcement Learning
Neural Networks for NLP CMU Graham Neubig [Homepage] NLP, Deep Learning
Mathematics of Deep Learning NYU Joan Bruna [Github] Deep Learning
Introduction to NLP Stanford Dan Jurafsky, Chris Manning [Youtube] NLP
Text Mining and Analytics UIUC ChengXiang Zhai [Coursera] NLP
Machine Learning Crash Course with TensorFlow APIs Google Google [Homepage] Machine Learning, Tensorflow
CS230: Deep Learning Stanford Andrew Ng, Kian Katanforoosh [Homepage] Deep Learning
Intro to Deep Learning with PyTorch Facebook AI Facebook AI [Udacity] Deep Learning, PyTorch
Introduction to Deep Learning UC Berkeley Alex Smola, Mu Li [Youtube][GitHub] Deep Learning
Foundations of Machine Learning NYU Mehryar Mohri [Homepage] Machine Learning
DS1003 Machine Learning NYU Julia Kempe, David Rosenberg [Homepage][Slides] [Youtube][Assignments] Machine Learning
TensorFlow in Practice Coursera Laurence Moroney [Coursera] TensorFlow
DS-GA 1008 Deep Learning NYU Yann LeCun, Alfredo Canziani [Homepage] [YouTube][Bilibili] Deep Learning, PyTorch
Deep Learning for Human Language Processing National Taiwan University Hung-yi Lee [Homepage] [YouTube] Deep Learning, NLP

Books

Book Name Author Link Category
机器学习 周志华 [Amazon][JD] Machine Learning
Deep Learning Ian Goodfellow, Yoshua Bengio, Aaron Courville [PDF][中文版] Deep Learning
Machine Learning Tom Mitchell [PDF] Machine Learning
Pattern Recogniton and Machine Learning Christopher Bishop [PDF][中文版] Machine Learning
The Elements of Statistical Learning Trevor Hastie, Robert Tibshirani, Jerome Friedman [PDF] Machine Learning
Data Mining: Practical Machine Learning Tools and Techniques Ian H. Witten, Eibe Frank [PDF] Data Mining
Artificial Intelligence: A Modern Approach Sturart J. Russell, Peter Norvig [PDF] AI
Machine Learning: A Probabilistic Perspective Kevin P. Murphy [PDF] Machine Learning
Natural Language Processing with Python Stven Bird, Ewan Klein, Edward Loper [PDF][Link] NLP
Getting Started with Tensorflow Giancarlo Zaccone [PDF] Tensorflow
Hands-On Machine Learning with Scikit-Learn and TensorFlow Aurélien Géron [PDF][Github] Machine Learning
Deep Learning with Python François Chollet [PDF][Github] Deep Learning
Probabilistic Graphical Models: Principles and Techniques Daphne Koller, Nir Friedman [PDF] Probabilistic Graphical Model
Speech and Language Processing Dan Jurafsky, James H. Martin [Homepage][PDF] NLP
Neural Network Methods for Natural Language Processing Yoav Goldberg [PDF] NLP
统计学习方法 李航 [Amazon] Machine Learning
Natural Language Processing Jacob Eisenstein [PDF] NLP
Dive into Deep Learning 动手学深度学习 Aston Zhang, Mu Li, Zachary C.Lipton, Alexander J.Smola [中文版] [PDF] [Website] [GitHub] [Jupyter] Deep Learning
Feature Engineering for Machine Learning Alice Zheng, Amanda Casari [PDF][译] Machine Learning, Feature Engineering
Machine Learning Yearning Andrew Ng [译][在线阅读] Machine Learning
Foundations of Machine Learning Mehryar Mohri [PDF][HomePage] Machine Learning

Agentic AI

Resource Name Type Authors/Instructors Link Category
Agentic AI Course Andrew Ng [DeepLearning.AI] Agentic AI Fundamentals
LangChain for LLM Application Development Course Harrison Chase, Andrew Ng [DeepLearning.AI] LLM Applications, Agents
Building Systems with the ChatGPT API Course Isa Fulford, Andrew Ng [DeepLearning.AI] LLM Applications, Agents
Strands Agents SDK Strands [Homepage] Multi-Agent Systems
AI Agents in LangGraph Course Harrison Chase, Rotem Weiss [DeepLearning.AI] Agent Frameworks
ChatGPT Prompt Engineering for Developers Course Isa Fulford, Andrew Ng [DeepLearning.AI] Prompt Engineering
ReAct: Synergizing Reasoning and Acting in Language Models Paper Yao et al. [arXiv] Reasoning, Planning
Toolformer: Language Models Can Teach Themselves to Use Tools Paper Schick et al. [arXiv] Tool Use
Deep Dive into LLMs like ChatGPT Course Andrej Karpathy [YouTube] LLM Fundamentals
Build your first Agentic AI app step-by-step with Strands Agents & MCP Course AWS [YouTube] Agentic AI Applications
Building Effective AI Agents Blog Anthropic [Anthropic] Agent Design, Best Practices
How We Built Our Multi-Agent Research System Blog Anthropic [Anthropic] Multi-Agent Systems, Architecture
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