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Top 23 Jupyter Notebook Machine Learning Projects
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for allProject mention: I want to learn more about AI and Machine Learning | reddit.com/r/ArtificialInteligence | 2023-01-12
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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Learn how to responsibly develop, deploy and maintain production machine learning applications.Project mention: what is ml/ops? | reddit.com/r/mlops | 2022-12-05
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!
Google ResearchProject mention: Deep Learning Pioneer Geoffrey Hinton Publishes New Deep Learning Algorithm | news.ycombinator.com | 2023-01-12
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.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
The fastai deep learning libraryProject mention: Fast.ai starts a corporate partnership program | news.ycombinator.com | 2023-01-17
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.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explainedProject mention: Homemade Machine Learning | news.ycombinator.com | 2022-12-01
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A game theoretic approach to explain the output of any machine learning model.Project mention: SHAP Value Interpretation | reddit.com/r/datascience | 2022-09-07
See this closed topic for more detail: https://github.com/slundberg/shap/issues/29
Learn OpenCV : C++ and Python ExamplesProject 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
The fastai book, published as Jupyter NotebooksProject 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
🧑🏫 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
The "Python Machine Learning (1st edition)" book code repository and info resourceProject 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
TensorFlow Tutorials with YouTube Videos
Best Practices, code samples, and documentation for Computer Vision.Project mention: How is accuracy calculated in multi label classification | reddit.com/r/MLQuestions | 2022-01-31
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 | 2022-11-03
It's time to get your hands dirty by solving some ML Use Cases of your own from AWS SageMaker Use Cases repo.
An open-source, low-code machine learning library in PythonProject mention: pycaret: An open-source, low-code machine learning library in Python | reddit.com/r/coolgithubprojects | 2022-09-13
Code for Machine Learning for Algorithmic Trading, 2nd edition.Project mention: How to become quant from cs | reddit.com/r/csMajors | 2022-10-29
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 | 2022-12-05
Thanks 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.
An adversarial example library for constructing attacks, building defenses, and benchmarking bothProject mention: [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process? | reddit.com/r/MachineLearning | 2022-10-28
TensorFlow documentation (by tensorflow)
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for PythonProject mention: DAM with face recognition | reddit.com/r/AffinityPhoto | 2022-12-02
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.
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural NetworksProject mention: Wednesday Daily Thread: Beginner questions | reddit.com/r/Python | 2022-03-16
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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Jupyter Notebook Machine Learning related posts
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Can a CS student get a phd In Neuroscience?
1 project | reddit.com/r/neuro | 25 Jan 2023
Fastai Chapter 4 - The important parts, Part 2: Building a regression model
1 project | dev.to | 25 Jan 2023
Artificial Intelligence course
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What are some of the best open-source Machine Learning projects in Jupyter Notebook? This list will help you: