Jupyter Notebook Mlops

Open-source Jupyter Notebook projects categorized as Mlops

Top 23 Jupyter Notebook Mlops Projects

  1. Made-With-ML

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

  2. Stream

    Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.

    Stream logo
  3. agents-towards-production

    This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

    Project mention: Agents-Towards-Production Tutorials | news.ycombinator.com | 2025-06-21
  4. mlops-zoomcamp

    Free MLOps course from DataTalks.Club

  5. amazon-sagemaker-examples

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

  6. evidently

    Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

  7. higgsfield

    Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

  8. mlops-course

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

  9. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  10. whylogs

    An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

  11. hamilton

    Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

    Project mention: Apache Hamilton (incubating): a Python library for DAGs of data transformations | news.ycombinator.com | 2025-08-03
  12. MLOps

    MLOps examples

  13. superlinked

    Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.

    Project mention: You Don't Need Re-Ranking: Understanding the Superlinked Vector Layer | news.ycombinator.com | 2025-05-23
  14. mlops-python-package

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

  15. efficient-dl-systems

    Efficient Deep Learning Systems course materials (HSE, YSDA)

  16. serverless-ml-course

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

  17. vertex-ai-samples

    Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

    Project mention: Kiroween Kinship: Monster Matchmaker | dev.to | 2025-12-05

    What I Learned In The Process: The biggest learning was around Gemini's image capabilities. Not all Gemini models support image generation — I discovered that "nano banana" is actually gemini-2.0-flash-image (also known as gemini-2.5-preview-image). I also learned that Google API keys from different sources have different capabilities. My first API key from AI Studio didn't work because I couldn't enable Vertex AI for it. When I switched to an API key from Google Cloud Console, I was able to enable Vertex AI and everything worked.

  18. MLSys-NYU-2022

    Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022

  19. fsdl-text-recognizer-2022-labs

    Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

  20. mlops-with-vertex-ai

    An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI

  21. fake-news

    Building a fake news detector from initial ideation to model deployment

  22. serving-pytorch-models

    Serving PyTorch models with TorchServe :fire:

    Project mention: Go Microservices for AI/ML Orchestration | dev.to | 2025-11-21

    TorchServe: Model Serving for PyTorch

  23. examples

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

  24. whylogs-examples

    A collection of WhyLogs examples in various languages

  25. mltraq

    Track and Collaborate on ML & AI Experiments.

  26. SaaSHub

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

    SaaSHub logo
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).

Jupyter Notebook Mlops discussion

Jupyter Notebook Mlops related posts

  • Arize Phoenix: observability tool for experimentation and evaluation of LLMs

    1 project | news.ycombinator.com | 4 Apr 2025
  • Should I Use a Framework to Build an Agent? Code vs. LangGraph vs. Workflows

    1 project | news.ycombinator.com | 2 Oct 2024
  • Wk 4: Deployment - MLOPs with DataTalks

    2 projects | dev.to | 7 Jul 2024
  • Wk 2 Experiment Tracking: MLOPs with DataTalks

    1 project | dev.to | 17 Jun 2024
  • Wk 1: MLOPs with DataTalks

    2 projects | dev.to | 17 Jun 2024
  • Created a plastic object detection model using AWS technologies 🌍🤖

    1 project | /r/learnmachinelearning | 26 Nov 2023
  • Created a plastic object detection model using AWS technologies 🌍🤖

    1 project | /r/projects | 25 Nov 2023
  • A note from our sponsor - InfluxDB
    www.influxdata.com | 23 Dec 2025
    InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now. Learn more →

Index

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

# Project Stars
1 Made-With-ML 44,375
2 agents-towards-production 15,957
3 mlops-zoomcamp 13,875
4 amazon-sagemaker-examples 10,828
5 evidently 6,920
6 higgsfield 3,498
7 mlops-course 3,222
8 whylogs 2,783
9 hamilton 2,340
10 MLOps 2,034
11 superlinked 1,456
12 mlops-python-package 1,379
13 efficient-dl-systems 926
14 serverless-ml-course 678
15 vertex-ai-samples 578
16 MLSys-NYU-2022 533
17 fsdl-text-recognizer-2022-labs 477
18 mlops-with-vertex-ai 402
19 fake-news 163
20 serving-pytorch-models 102
21 examples 86
22 whylogs-examples 49
23 mltraq 44

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Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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