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Top 23 Jupyter Notebook Machine Learning Projects
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Project mention: I want to learn more about AI and Machine Learning | reddit.com/r/ArtificialInteligence | 2023-01-12
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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Made-With-ML
Learn how to responsibly develop, deploy and maintain production machine learning applications.
I direct my students to: https://madewithml.com , the mlops section, and Chip Huyen's book by oreilly..her site is here: https://huyenchip.com , with great lectures in her course as well. Feel the former is one of the better surveys you will find, touching on concepts rather than the million products that implement them. The section on using Makefiles is itself worth reading!
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Project mention: Deep Learning Pioneer Geoffrey Hinton Publishes New Deep Learning Algorithm | news.ycombinator.com | 2023-01-12
https://github.com/google-research/google-research/tree/mast...
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Project mention: need a book recommendation for machine learning on python | reddit.com/r/learnpython | 2022-05-25
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is often recommended. You can check out the GitHub repo first: https://github.com/ageron/handson-ml
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You may know fast.ai as a popular deep learning course. There is also a deep learning library with the same name (https://github.com/fastai/fastai) as well as software development tools like nbdev (https://nbdev.fast.ai/).
fast.ai has been offering education and tools for free for over 7 years, and has been approached by many companies asking for help. This program offers an avenue for business to get relevant professional services and support.
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homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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See this closed topic for more detail: https://github.com/slundberg/shap/issues/29
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Project mention: Object detection with depth measurement using pre-trained models with OAK-D | reddit.com/r/computerscience | 2022-04-29
Code Link : https://github.com/spmallick/learnopencv/tree/master/OAK-Object-Detection-with-Depth
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Project mention: Fastai Chapter 4 - The important parts, Part 2: Building a regression model | dev.to | 2023-01-25
The book is available online here The course is accessible here
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nn
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Project mention: [D] Recent ML papers to implement from scratch | reddit.com/r/MachineLearning | 2022-10-10 -
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
Project mention: Can you recommend a Python textbook to replace "An Introduction to Statistical Learning with Applications in R", Witten, J. et. al. [E] | reddit.com/r/statistics | 2022-12-12 -
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Project mention: How is accuracy calculated in multi label classification | reddit.com/r/MLQuestions | 2022-01-31
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amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Project mention: Study Plan to pass exam AWS Machine Learning Specialty exam with tips and advice | dev.to | 2022-11-03It's time to get your hands dirty by solving some ML Use Cases of your own from AWS SageMaker Use Cases repo.
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Project mention: pycaret: An open-source, low-code machine learning library in Python | reddit.com/r/coolgithubprojects | 2022-09-13
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H2O
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Project mention: Best machine learning framework(s) for production | reddit.com/r/learnmachinelearning | 2022-12-05Thanks for the input. To clarify, I am more focused on choosing the modeling framework(s) that makes the most sense to use for future production. For example, is h2o.ai a good framework for training models for later deployment (through something like elastic beanstalk, Flask API's etc.)? I came across a number of mentions of Tensorflow, however it is focused on neural nets while I also want to use classic models such as random forests, etc.
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cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Project mention: [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process? | reddit.com/r/MachineLearning | 2022-10-28 -
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deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
I bought a On1 license, but as you point out, it has no facial recognition nor any plans to add it. That also means it has no concept of face regions as implemented in XMP, so that cannot be retrofitted by running face recognition externally, e.g. using an open-source solution like Deepface.
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t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
I am just getting into Machine Learning with Python. I have an M1 MacBook Air and (somehow) managed to install Tensorflow according to this tutorial https://github.com/jeffheaton/t81_558_deep_learning/blob/master/install/tensorflow-install-mac-metal-jul-2021.ipynb , which is apparently the bread and butter of machine learning.
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2023-01-25.
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Index
What are some of the best open-source Machine Learning projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | ML-For-Beginners | 43,860 |
| 2 | TensorFlow-Examples | 42,470 |
| 3 | Made-With-ML | 32,164 |
| 4 | google-research | 26,938 |
| 5 | handson-ml | 24,961 |
| 6 | fastai | 23,298 |
| 7 | homemade-machine-learning | 20,796 |
| 8 | shap | 18,392 |
| 9 | learnopencv | 17,813 |
| 10 | fastbook | 17,075 |
| 11 | nn | 16,538 |
| 12 | python-machine-learning-book | 11,770 |
| 13 | TensorFlow-Tutorials | 9,115 |
| 14 | computervision-recipes | 8,812 |
| 15 | amazon-sagemaker-examples | 7,806 |
| 16 | pycaret | 6,833 |
| 17 | machine-learning-for-trading | 6,650 |
| 18 | H2O | 6,119 |
| 19 | cleverhans | 5,681 |
| 20 | docs | 5,582 |
| 21 | pyprobml | 5,394 |
| 22 | deepface | 5,378 |
| 23 | t81_558_deep_learning | 5,098 |
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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