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Faster Convolutions and Cellular Automata in Julia with NNlib: 2.7X Faster than PyTorch*

Faster Convolutions and Cellular Automata in Julia with NNlib: 2.7X Faster than PyTorch*

Originally published at https://rivesunder.github.io/SortaSota/2021/09/27/faster_life_julia.html on September 27, 2021.
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Rive Sunder
Simulation Speeds for Conway’s Game of Life in NumPy vs. Julia

Simulation Speeds for Conway’s Game of Life in NumPy vs. Julia

Originally published at https://rivesunder.github.io/SortaSota/2021/08/29/living_julia.html on August 29, 2021
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Rive Sunder
Life-Like Execution Speeds with Julia and PyTorch

Life-Like Execution Speeds with Julia and PyTorch

Originally published at https://rivesunder.github.io/SortaSota/2021/08/24/life_in_julia.html on August 24, 2021.
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Rive Sunder
The Shapes of Regularization

The Shapes of Regularization

Introduction
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Rive Sunder
Wrap Your Universe Around a Toroid with Circular Padding Convolutions

Wrap Your Universe Around a Toroid with Circular Padding Convolutions

If you’re a cellular automata (CA) enthusiast, you probably already know that you can parameterize arbitrary CA rules as a series of…
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Rive Sunder
Spinning Up in Deep Reinforcement Learning (With PyBullet)

Spinning Up in Deep Reinforcement Learning (With PyBullet)

If you want to skip the preamble and get started right away, jump down to Setting Up in Deep RL with PyBullet. You can always come back to…
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Rive Sunder
Learning XOR with Julia and Zygote

Learning XOR with Julia and Zygote

Training a multi-layer perceptron with automatic differentiation package Zygote.
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Rive Sunder
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