grantbrown/ABSEIR
A Flexible and Computationally Efficient SEIRS Modeling Framework
Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
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A Flexible and Computationally Efficient SEIRS Modeling Framework
Experimenting with CAF
OpenCL library to train deep convolutional neural networks
Analysis of the classic Abkaliki Smallpox Outbreak of 1968