Deep Learning

Graph neural networks Aug 18, 2024 • 21 min read

A Crash Course on Graph Neural Networks (Implementation Included) – Part 1

A practical and beginner-friendly guide to building neural networks on graph data.

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Avi Chawla

Deep Learning Jul 25, 2024 • 6 min read

All-Reduce and Ring-Reduce for Model Synchronization in Multi-GPU Training

Two synchronization algorithms for intermediate-ML models.

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Avi Chawla

Deep Learning May 31, 2024 • 14 min read

Implementing KANs From Scratch Using PyTorch

A step-by-step demonstration of an emerging neural network architecture — KANs.

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Avi Chawla

Machine Learning May 19, 2024 • 20 min read

A Beginner-friendly Introduction to Kolmogorov Arnold Networks (KAN)

What are KANs, how are they trained, and what makes them so powerful?

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Avi Chawla

Machine Learning May 11, 2024 • 25 min read

Implementing (Massively) Parallelized CUDA Programs From Scratch Using CUDA Programming

A beginner-friendly guide for curious minds who don't know the internal workings of model.cuda().

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Avi Chawla

Machine Learning Apr 5, 2024 • 15 min read

A Beginner-friendly Guide to Multi-GPU Model Training

Models are becoming bigger and bigger. Learn how to scale models using distributed training.

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Avi Chawla

Machine Learning Mar 12, 2024 • 22 min read

A Detailed and Beginner-Friendly Introduction to PyTorch Lightning: The Supercharged PyTorch

Immensely simplify deep learning model building with PyTorch Lightning.

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Avi Chawla