Author: James McClain
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Running ROCm 5.4.2, ONNX, and PyTorch on a SteamDeck
In this blog post, we’ll guide you through setting up ROCm 5.4.2, ONNX, and PyTorch on a SteamDeck.
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Running ROCm 5.4.2, ONNX, and PyTorch on a SteamDeck
In this blog post, we’ll guide you through setting up ROCm 5.4.2, ONNX, and PyTorch on a SteamDeck.
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Streamlining search-and-rescue operations using machine learning on the edge
In this blog, we discuss various improvements that we have made to the proposed workflow first discussed in our previous blog post focused on edge processing of drone imagery for search-and-rescue.
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Unleashing the Power of Geospatial AI: Elevating our Machine Learning Offerings
We outline recent projects tackling complex challenges through the lens of Machine Learning and discuss how our past experience will shape future work.
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The Azavea Cloud Dataset
Azavea is releasing a dataset consisting of 32 unique Sentinel-2 tiles with cloud labels produced by humans.
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Cloud Detection in Satellite Imagery
We compare the results of two machine learning models that detect clouds in Sentinel-2 satellite imagery and share pointers about models you can try for yourself.
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The Future of Machine Learning AMA
3 of our machine learning engineers answer your questions about the future of machine learning.
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Reading and Visualizing NetCDF Climate Data with GeoTrellis
This blog post contains an example project that demonstrates how to read NetCDF climate projection data from S3 or a local filesystem into a Spark/Scala program using NetCDF Java and how to manipulate the data using GeoTrellis. We are interested in reading datasets stored as NetCDF because it is a common format for storing large, global climate…
