Beast code in Giters

Adrian Albert's repositories

Code for constructing the urban environments dataset and for land use classification via convolutional neural networks

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Simulating urban land use maps with generative adversarial networks

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Energy Analytics

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Tools for acquiring and processing satellite imagery

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in progress

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MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

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Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

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Implementation of arxiv:1703.10717 in PyTorch

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Scripts and other artifacts for landsat data ingestion into Amazon public hosting.

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Python client for the Planet imagery API

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Stats and simulation

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