Thomas Wagenaar
wagenaartje
Autonomy engineer. Interested in machine learning and optimisation
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JavaScript
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Top Repositories
:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js
:moneybag: stocks.js is an easy-to-use stock market API for Javascript
:pencil2: The Google Quick Draw dataset ported to a MNIST-like 28x28 greyscale array dataset, useable by JavaScript machine-learning libraries
Neural agents learn to play in an agario-like environment with Neataptic
Physics-informed neural networks for highly compressible flows ð§ ð
Neural agents evolved with Neataptic to seek targets
Repositories
9:moneybag: stocks.js is an easy-to-use stock market API for Javascript
:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js
:pencil2: The Google Quick Draw dataset ported to a MNIST-like 28x28 greyscale array dataset, useable by JavaScript machine-learning libraries
Physics-informed neural networks for highly compressible flows ð§ ð
Neural agents learn to play in an agario-like environment with Neataptic
A fast implementation of adaptive competitive gradient descent in PyTorch ðĪš
Neuraldino is a neural AI that learns to play Google's offline T-rex game from any player on the world.
All code for the results and figures shown in the report for the course AE4350.
Neural agents evolved with Neataptic to seek targets