Discover GokuMohandas/monitoring-ml Open Source project

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Jupyter Notebook
Created almost 2 years ago
Updated about 1 year ago

GokuMohandas

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Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.

Made-With-ML

Learn how to responsibly develop, deploy and maintain production machine learning applications.

Jupyter Notebook

32,935

mlops-course

Learn how to design, develop, deploy and maintain an end-to-end ML application at scale.

Jupyter Notebook

2,152

fast-weights

🏃 Implementation of Using Fast Weights to Attend to the Recent Past.

Python

257

data-engineering

Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.

Jupyter Notebook

118

the-neural-perspective

📓 Notes from The Neural Perspective (discontinued) blog.

Python

casual-digressions

💤 Old repository of notes on machine learning papers.

attentional-interfaces

🔍 Attentional interfaces in TensorFlow.

Jupyter Notebook

testing-ml

Learn how to create reliable ML systems by testing code, data and models.

Jupyter Notebook

oreilly-pytorch

🔥 Introductory PyTorch tutorials with OReilly Media.

Jupyter Notebook

feature-store

Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.

Jupyter Notebook

GokuMohandas

Jupyter Notebook

jupyter-config

🌍 Configuration files for Jupyter features.

Jupyter Notebook

SELU

🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.

Jupyter Notebook

GokuMohandas/monitoring-ml

GokuMohandas

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