Jupyter Notebook Machine Learning

Open-source Jupyter Notebook projects categorized as Machine Learning

Top 23 Jupyter Notebook Machine Learning Projects

  • nn

    🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

    Project mention: Can't remember name of website that has explanations side-by-side with code | /r/learnmachinelearning | 2023-03-28

    Hey are you talking about https://nn.labml.ai/ ?

  • TensorFlow-Examples

    TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  • LearnThisRepo.com

    Learn 300+ open source libraries for free using AI. LearnThisRepo lets you learn 300+ open source repos including Postgres, Langchain, VS Code, and more by chatting with them using AI!

  • Made-With-ML

    Learn how to design, develop, deploy and iterate on production-grade ML applications.

    Project mention: [D] How do you keep up to date on Machine Learning? | /r/learnmachinelearning | 2023-08-13

    Made With ML

  • google-research

    Google Research

    Project mention: Multi-bitrate JPEG compression perceptual evaluation dataset 2023 | news.ycombinator.com | 2024-01-31
  • AI-For-Beginners

    12 Weeks, 24 Lessons, AI for All!

    Project mention: Artificial Intelligence for Beginners – A Curriculum | news.ycombinator.com | 2023-06-13

    This is a good summary of most topics in AI/ML. The only thing that it seems to by missing (or maybe I'm just not seeing it) is a section on generative AI for images and video (DALL-E, Stable Diffusion etc).

    They do cover LLMs which is generative AI for text though: https://github.com/microsoft/AI-For-Beginners/blob/main/less...

  • fastai

    The fastai deep learning library

    Project mention: Cleared AWS Machine Learning - Specialty exam.. Happy to help!!! | /r/AWSCertifications | 2023-04-04

    Jeremy Howard's YouTube Channel - Jeremy maintains the fastai library, which is an excellent package that will help anyone build complicated ML architectures in minimum time. His YouTube Channel has a number of free courses which do an amazing job of covering a variety of ML topics, and he also maintains a very active forum for people studying ML.

  • handson-ml

    ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • llm-course

    Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

    Project mention: Large Language Model Course | news.ycombinator.com | 2024-01-23
  • homemade-machine-learning

    🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

  • shap

    A game theoretic approach to explain the output of any machine learning model.

    Project mention: [D] Convert a ML model into a rule based system | /r/MachineLearning | 2023-12-06

    something like GitHub - shap/shap: A game theoretic approach to explain the output of any machine learning model.?

  • CLIP

    CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

    Project mention: NLP Algorithms for Clustering AI Content Search Keywords | news.ycombinator.com | 2024-02-20

    the first thing that comes to mind is CLIP: https://github.com/openai/CLIP

  • fastbook

    The fastai book, published as Jupyter Notebooks

    Project mention: The fastai book, published as Jupyter Notebooks | news.ycombinator.com | 2024-01-17
  • learnopencv

    Learn OpenCV : C++ and Python Examples

    Project mention: YOLO-NAS Pose | /r/pytorch | 2023-11-16

    Deci's YOLO-NAS Pose: Redefining Pose Estimation! Elevating healthcare, sports, tech, and robotics with precision and speed. Github link and blog link down below! Repo: https://github.com/spmallick/learnopencv/tree/master/YOLO-NAS-Pose

  • python-machine-learning-book

    The "Python Machine Learning (1st edition)" book code repository and info resource

  • machine-learning-for-trading

    Code for Machine Learning for Algorithmic Trading, 2nd edition.

    Project mention: Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0 | /r/algoprojects | 2023-11-20
  • FinGPT

    FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

    Project mention: FLaNK Stack 05 Feb 2024 | dev.to | 2024-02-05
  • numerical-linear-algebra

    Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

    Project mention: I'm a 42-years-old librarian whithout any math background and I'm willing to learn | /r/learnmachinelearning | 2023-04-27

    If you really like to dig into math, I liked the Udacity course on Intro to Deeplearning with Pytorch. Also, the Stanford course CS231n Convolutional Neural Networks for Visual Recognition is a good place to understand some basics. Other two courses to get you jumpstarted are Practical Deep Learning for Coders and Linear Algebra Course by FastAI

  • amazon-sagemaker-examples

    Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

    Project mention: Thesis Project Help Using SageMaker Free Tier | /r/aws | 2023-09-23

    I need to use AWS Sagemaker (required, can't use easier services) and my adviser gave me this document to start with: https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/question_answering_retrieval_augmented_generation/question_answering_langchain_jumpstart.ipynb

  • TensorFlow-Tutorials

    TensorFlow Tutorials with YouTube Videos

    Project mention: Probabilistic forecasting | /r/MLQuestions | 2023-04-24

    "deep neural network" https://github.com/Hvass-Labs/TensorFlow-Tutorials

  • mlops-zoomcamp

    Free MLOps course from DataTalks.Club

    Project mention: Where do I start to learn MLOPS? | /r/mlops | 2023-07-01

    There is MLOps Zoomcamp course (which shows end-to-end MLOps process with open-source MLOps tools) https://github.com/DataTalksClub/mlops-zoomcamp.

  • pycaret

    An open-source, low-code machine learning library in Python

  • ML-Papers-of-the-Week

    🔥Highlighting the top ML papers every week.

    Project mention: [D] Where can I find a list of the foundational academic papers in RL/ML/DL and what are your go-to places to find new academic papers in RL/ML/DL? | /r/MachineLearning | 2023-07-07

    Labml.ai stopped working in May. I like https://github.com/dair-ai/ML-Papers-of-the-Week

  • 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: Really struggling with open source models | /r/LocalLLaMA | 2023-07-12

    I would use H20 if I were you. You can try out LLMs with a nice GUI. Unless you have some familiarity with the tools needed to run these projects, it can be frustrating. https://h2o.ai/

  • WorkOS

    The modern API for authentication & user identity. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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 2024-02-20.

Jupyter Notebook Machine Learning related posts


What are some of the best open-source Machine Learning projects in Jupyter Notebook? This list will help you:

Project Stars
1 nn 43,583
2 TensorFlow-Examples 43,108
3 Made-With-ML 35,144
4 google-research 32,196
5 AI-For-Beginners 27,487
6 fastai 25,249
7 handson-ml 25,099
8 llm-course 24,152
9 homemade-machine-learning 22,340
10 shap 21,199
11 CLIP 20,815
12 fastbook 20,333
13 learnopencv 20,000
14 python-machine-learning-book 12,076
15 machine-learning-for-trading 11,368
16 FinGPT 10,738
17 numerical-linear-algebra 9,911
18 amazon-sagemaker-examples 9,316
19 TensorFlow-Tutorials 9,244
20 mlops-zoomcamp 8,290
21 pycaret 8,221
22 ML-Papers-of-the-Week 7,190
23 H2O 6,649
The modern API for authentication & user identity.
The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.