Goku Mohandas (@GokuMohandas)
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GokuMohandas

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Top repositories

1

Made-With-ML

Learn how to responsibly develop, deploy and maintain production machine learning applications.
Jupyter Notebook
32,935
star
2

mlops-course

Learn how to design, develop, deploy and maintain an end-to-end ML application at scale.
Jupyter Notebook
2,152
star
3

fast-weights

🏃 Implementation of Using Fast Weights to Attend to the Recent Past.
Python
257
star
4

data-engineering

Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
Jupyter Notebook
118
star
5

the-neural-perspective

📓 Notes from The Neural Perspective (discontinued) blog.
Python
84
star
6

casual-digressions

💤 Old repository of notes on machine learning papers.
76
star
7

attentional-interfaces

🔍 Attentional interfaces in TensorFlow.
Jupyter Notebook
58
star
8

oreilly-pytorch

🔥 Introductory PyTorch tutorials with OReilly Media.
Jupyter Notebook
55
star
9

testing-ml

Learn how to create reliable ML systems by testing code, data and models.
Jupyter Notebook
54
star
10

monitoring-ml

Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
Jupyter Notebook
43
star
11

feature-store

Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
Jupyter Notebook
29
star
12

GokuMohandas

21
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13

follow

Jupyter Notebook
9
star
14

jupyter-config

🌍 Configuration files for Jupyter features.
Jupyter Notebook
8
star
15

SELU

🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.
Jupyter Notebook
8
star