Jupyter Notebook ML

Open-source Jupyter Notebook projects categorized as ML

Top 23 Jupyter Notebook ML Projects

  • handson-ml

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

  • StableLM

    StableLM: Stability AI Language Models

    Project mention: The Era of 1-bit LLMs: ternary parameters for cost-effective computing | news.ycombinator.com | 2024-02-28

    https://github.com/Stability-AI/StableLM?tab=readme-ov-file#...

  • 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.

  • dopamine

    Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  • pycaret

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

  • nlpaug

    Data augmentation for NLP

  • Andrew-NG-Notes

    This is Andrew NG Coursera Handwritten Notes.

  • featureform

    The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

    Project mention: Still look familiar? | /r/u_featureform | 2023-07-13
  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • azureml-examples

    Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

  • vertex-ai-samples

    Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

    Project mention: Gemini 1.5 outshines GPT-4-Turbo-128K on long code prompts, HVM author | news.ycombinator.com | 2024-02-18
  • imodels

    Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

  • Reactors

    🌱 Join a community of developers at Microsoft Reactor and connect with people, skills, and technology to build your career or personal learning. We offer free livestreams, on-demand content, and hybrid/in-person events daily around the world. Access our projects and code here.

  • serverless-ml-course

    Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

  • cleora

    Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

  • mlops-python-package

    Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

    Project mention: When writing ML software - how do you use TDD? | /r/mlops | 2023-06-25

    I always use TDD when I work on serious AI/ML projects. Even if this practice is time-consuming in the short term, it's time efficient in the long run. I prefer to catch bugs as early as possible in my workflow. I recently worked on a MLOps Python package that provides examples to implement best practices like TDD, code coverage and more: https://github.com/fmind/mlops-python-package

  • S2ML-Generators

    Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content

  • gan-vae-pretrained-pytorch

    Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

  • vision-camera-realtime-object-detection

    VisionCamera Frame Processor Plugin to detect objects using TensorFlow Lite Task Vision

  • examples

    📝 Examples of how to use Neptune for different use cases and with various MLOps tools (by neptune-ai)

  • ltt

    Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

  • augmented-interpretable-models

    Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

  • mltraq

    Track and Collaborate on AI Experiments.

    Project mention: Show HN: MLtraq – Track and Collaborate on AI Experiments (Open-Source) | news.ycombinator.com | 2024-02-06

    - Source code: https://github.com/elehcimd/mltraq

    Thoughts? Looking forward to your feedback. I hope you enjoy it! Thank You!

  • creative-prediction

    Creative Prediction with Neural Networks

  • Projects-Archive

    This hacktober fest, the only stop you’ll need to make for ML, Web Dev and App Dev - see you there!

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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 2024-02-28.

Jupyter Notebook ML related posts

Index

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

Project Stars
1 handson-ml 25,085
2 StableLM 15,848
3 dopamine 10,365
4 pycaret 8,385
5 nlpaug 4,252
6 Andrew-NG-Notes 2,214
7 featureform 1,674
8 azureml-examples 1,537
9 vertex-ai-samples 1,332
10 imodels 1,284
11 Reactors 504
12 serverless-ml-course 476
13 cleora 472
14 mlops-python-package 337
15 S2ML-Generators 178
16 gan-vae-pretrained-pytorch 162
17 vision-camera-realtime-object-detection 92
18 examples 65
19 ltt 56
20 augmented-interpretable-models 38
21 mltraq 28
22 creative-prediction 22
23 Projects-Archive 21
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com