Top 13 Jupyter Notebook Mlops Projects
Learn how to responsibly deliver value with ML.Project mention: Testing or evaluation libraries | reddit.com/r/LanguageTechnology | 2022-07-30
https://madewithml.com covers many practical aspects of machine learning applications.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.Project mention: Migrate local Data Science workspaces to SageMaker Studio | dev.to | 2022-08-08
Amazon SageMaker provides XGBoost as a built-in algorithm and data science team decided to use it and re-train the model. So, data scientists just need to call built-in version and provide path to data on S3, more detailed description can be found in documentation. Example notebook can be found here.
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
The open standard for data loggingProject mention: whylogs: The open standard for data logging | reddit.com/r/u_TsukiZombina | 2022-06-19
A project-based course on the foundations of MLOps with a focus on intuition and application.Project mention: What skills should I focus on to improve as a MLE? | reddit.com/r/cscareerquestions | 2022-05-01
MLOps examplesProject mention: Deploying Azure Machine Learning Models to Prod Environments | reddit.com/r/azuredevops | 2021-11-06
Walk through this, it shows how to operationalise your ML pipeline https://github.com/Microsoft/MLOps
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google CloudProject mention: JBCNConf 2022: A great farewell | dev.to | 2022-07-23
She made mentions to ML-Ops and MLFlow including Vertex AI the GCP implementation. I will post the video as soon as it is available. In the meantime, you can enjoy any other talk from Nerea Luis
An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AIProject mention: Where to start? | reddit.com/r/mlops | 2022-06-03
To take it to the next level, maybe start to dive into a truer "end-to-end mlops" example.
Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.
Building a fake news detector from initial ideation to model deployment
Best practices for engineering ML pipelines.
2 Lines of code to track ML experiments + EDA + check into GithubProject mention: [D] Open Source library to do automatic EDA + experiment tracking in a spreadsheet | reddit.com/r/MachineLearning | 2022-05-14
Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork
End to End toy example of MLOps (by ashishtele)Project mention: MLOps stack using Pycaret | reddit.com/r/mlops | 2022-01-17
Integrating Aporia ML model monitoring into a Bodywork serving pipeline.
Jupyter Notebook Mlops related posts
Where to start?
2 projects | reddit.com/r/mlops | 3 Jun 2022
[D] Open Source library to do automatic EDA + experiment tracking in a spreadsheet
1 project | reddit.com/r/MachineLearning | 14 May 2022
[D] ZIP models as a means to handle regression on data with excess of zeros
1 project | reddit.com/r/MachineLearning | 13 May 2022
Zero Inflated Poisson Regression Model – How to model data with lot of zeroes?
1 project | news.ycombinator.com | 12 May 2022
Show HN: Discover VevestaX – Track ML features, experiments and EDA in an Excel
1 project | news.ycombinator.com | 13 Apr 2022
[D] Impactful Computer Vision Research - Nerf (Neural Radiance Fields)
1 project | reddit.com/r/MachineLearning | 4 Jan 2022
VevestaX - An awesome and simple tool to track ML experiments in an excel file
2 projects | reddit.com/r/Python | 8 Dec 2021
What are some of the best open-source Mlops projects in Jupyter Notebook? This list will help you:
Are you hiring? Post a new remote job listing for free.