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Top 23 Jupyter Notebook Mlops Projects
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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.
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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.
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amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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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.
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higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
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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.
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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. 📈
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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 -
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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 -
mlops-python-package
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
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serverless-ml-course
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
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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.
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.
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MLSys-NYU-2022
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
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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
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mlops-with-vertex-ai
An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
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TorchServe: Model Serving for PyTorch
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examples
📝 Examples of how to use Neptune for different use cases and with various MLOps tools (by neptune-ai)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Jupyter Notebook Mlops discussion
Jupyter Notebook Mlops related posts
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Arize Phoenix: observability tool for experimentation and evaluation of LLMs
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Should I Use a Framework to Build an Agent? Code vs. LangGraph vs. Workflows
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Wk 4: Deployment - MLOPs with DataTalks
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Wk 2 Experiment Tracking: MLOPs with DataTalks
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Wk 1: MLOPs with DataTalks
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Created a plastic object detection model using AWS technologies 🌍🤖
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Created a plastic object detection model using AWS technologies 🌍🤖
- A note from our sponsor - InfluxDB www.influxdata.com | 23 Dec 2025
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 |