Machine learning with deep neural techniques has advanced quickly, so Dr. James McCaffrey of Microsoft Research updates regression techniques and best practices guidance based on experience over the ...
Dr. James McCaffrey of Microsoft Research explains how to train a network, compute its accuracy, use it to make predictions and save it for use by other programs. This is the second of two articles ...
A PyTorch implementation of Binarized Neural Networks (BNNs) with Shift-based Batch Normalization and AdaMax optimizer. - Wzx0110/PyTorch-BNN-Reimplementation ...
Intel has long worked on tuning their oneDNN neural network library for their hardware and saw its adoption by PyTorch and other AI frameworks. AMD has maintained ZenDNN as their downstream fork that ...
SNACK: truly sparse GPU layers with a custom COO SpMM CUDA kernel — NeurIPS 2026 (arXiv:2610.04093) - JafarBadour/Snack-SNN ...
Researchers at San Diego State University have developed a software tool called CodeJeNN that automatically converts neural ...
A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...
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