Coursera Open Source Projects
Browse 166 Coursera open source projects, ranked by GitHub stars. Find the most popular Coursera tools and libraries.
fengdu78/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
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| Stars | 37,373 |
jhu-ep-coursera/fullstack-course4
Example code for HTML, CSS, and Javascript for Web Developers Coursera Course
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| Stars | 10,930 |
coursera-dl/coursera-dl
Script for downloading Coursera.org videos and naming them.
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| Stars | 9,631 |
Kulbear/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
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| Stars | 7,734 |
greyhatguy007/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
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| Stars | 7,633 |
dibgerge/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
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| Stars | 5,570 |
mbadry1/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
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| Stars | 5,328 |
louisfb01/start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
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| Stars | 5,277 |
mithi/robotics-coursework
🤖 Places where you can learn robotics (and stuff like that) online 🤖
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| Stars | 5,037 |
yanshengjia/ml-road
Machine Learning and Agentic AI Resources, Practice and Research
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| Stars | 4,870 |
amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
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| Stars | 4,310 |
DataScienceSpecialization/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
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| Stars | 4,153 |
ashishpatel26/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
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| Stars | 3,757 |
MTrajK/coding-problems
Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures
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| Stars | 3,383 |
lcylmhlcy/Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
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| Stars | 3,023 |
loveunk/machine-learning-deep-learning-notes
机器学习、深度学习的学习路径及知识总结
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| Stars | 2,540 |
mGalarnyk/datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
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| Stars | 2,256 |
kennyledet/Algorithm-Implementations
Share, discuss and learn about algorithm implementations!
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| Stars | 2,196 |
rotimi-best/classroomio
Open Source alternative to Google Classroom
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| Stars | 1,606 |
ossu/computer-science-cn
🎓计算机技术与科学自学之旅
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| Stars | 1,559 |
firmai/awesome-google-colab
Google Colaboratory Notebooks and Repositories (by @firmai)
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| Stars | 1,507 |
nsoojin/coursera-ml-py
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
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| Stars | 1,436 |
atinesh-s/Coursera-Machine-Learning-Stanford
Machine learning-Stanford University
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| Stars | 1,176 |
Shujian2015/FreeML
A List of Data Science/Machine Learning Resources (Mostly Free)
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| Stars | 1,131 |
off99555/machine-learning-curriculum
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
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| Stars | 1,127 |
qiaoxu123/Self-Driving-Cars
Coursera Open Courses from University of Toronto
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| Stars | 1,106 |
bighuang624/Andrew-Ng-Deep-Learning-notes
吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course
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| Stars | 1,040 |
TingNie/Coursera-ML-using-matlab-python
coursera吴恩达机器学习课程作业自写Python版本+Matlab原版
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| Stars | 963 |
greyhatguy007/Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
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| Stars | 954 |
daryllxd/lifelong-learning
✅ ✅ ✅ A massive repo filled with notes on everything from coding to philosophy to psychology to marketing to product
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| Stars | 947 |
shenweichen/Coursera
Quiz & Assignment of Coursera
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| Stars | 932 |
rdpeng/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
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| Stars | 890 |
amanjeetsahu/Natural-Language-Processing-Specialization
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
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| Stars | 859 |
JWarmenhoven/Coursera-Machine-Learning
Coursera Machine Learning - Python code
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| Stars | 857 |
Wasim37/deeplearning-assignment
深度学习笔记
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| Stars | 818 |
elmoallistair/google-data-analytics
google data analytics professional certificate
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| Stars | 813 |
vkosuri/CourseraMachineLearning
Coursera Machine Learning By Prof. Andrew Ng
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| Stars | 786 |
sux13/DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
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| Stars | 775 |
jtleek/dataanalysis
The lecture slides for Coursera's Data Analysis class
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| Stars | 772 |
Yukong/Deeplearning.ai-Solutions
Solutions of assignments and translation to Chinese
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| Stars | 753 |
salimt/Courses-
Answers for Quizzes & Assignments that I have taken
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| Stars | 712 |
ShahariarRabby/deeplearning.ai
deeplearning.ai , By Andrew Ng, All video link
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| Stars | 656 |
abdelrahmaan/Financial-aid-on-coursera-
Applying for financial aid on coursera
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| Stars | 654 |
marsggbo/deeplearning.ai_JupyterNotebooks
DeepLearning.ai课程学习Jupyter Notebook作业
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| Stars | 598 |
lijqhs/deeplearning-notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
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| Stars | 583 |
whyscience/CS231n-Note-Translation_CN
CS231课程笔记翻译 https://zhuanlan.zhihu.com/intelligentunit
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| Stars | 556 |
elmoallistair/google-it-automation
google it automation with python professional certificate
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| Stars | 535 |
ibrahimjelliti/Deeplearning.ai-Natural-Language-Processing-Specialization
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
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| Stars | 523 |
liuyubobobo/ai-learning-roadmap
Ai Learning Roadmap based on lots of open course sources and book materials. 我总结的 AI 学习路径。
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| Stars | 496 |
bisohns/search-engine-parser
Lightweight package to query popular search engines and scrape for result titles, links and descriptions
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| Stars | 489 |
greyhatguy007/deep-learning-specialization
Contains Solutions to Deep Learning Specailization - Coursera
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| Stars | 486 |
amanchadha/coursera-gan-specialization
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
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| Stars | 484 |
y33-j3T/Coursera-Deep-Learning
My notes / works on deep learning from Coursera
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| Stars | 473 |
abdur75648/Deep-Learning-Specialization-Coursera
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
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| Stars | 471 |
ginny100/Meta-Front-End-Developer
All assignments, demos, and cheat sheets from the 9 courses in the "Meta Front-End Developer Professional Certificate" on Coursera.
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| Stars | 471 |
alexanderskulikov/discrete-math-python-scripts
Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera
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| Stars | 451 |
AlbertHG/Coursera-Deep-Learning-deeplearning.ai
(完结)网易云课堂微专业《深度学习工程师》听课笔记,编程作业和课后练习
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| Stars | 447 |
varunkashyapks/Books
Books related to AI/ML/DL/GENAI
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| Stars | 446 |
csr632/awesome-learning-resources
收集最优质的学习资料。专治“学习资料不足恐惧症”。
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| Stars | 428 |
MrinmoiHossain/Online-Courses-Learning
Contains the online course about Data Science, Machine Learning, Programming Language, Operating System, Mechanial Engineering, Mathematics and Robotics provided by Coursera, Udacity, Linkedin Learning, Udemy and edX.
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| Stars | 421 |
