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The Data Science Lab Neural Regression Using PyTorch: Model Accuracy Dr. James McCaffrey of Microsoft Research explains how to evaluate, save and use a trained regression model, used to predict a ...
In the final article of a four-part series on binary classification using PyTorch, Dr. James McCaffrey of Microsoft Research shows how to evaluate the accuracy of a trained model, save a model to file ...
Microsoft’s new tool makes it possible to use your own GPU to work with popular machine learning platforms.
Using these combined optimizations on PyTorch nightly builds, the IBM researchers were able to achieve inference speeds of 29 milliseconds per token on a 100 GPU system for a large language model ...
According to Facebook, PyTorch 1.0 takes the modular, production-oriented capabilities from Caffe2 and ONNX and combines them with PyTorch's existing flexible, research-focused design to provide a ...
Microsoft is open-sourcing an optimized version of Google's BERT that uses ONNX Runtime and CPUs or GPUs to speed language model performance.
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