Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Google (GOOG) (GOOGL) is working to lessen Nvidia's (NVDA) advantage with its CUDA software platform, with some help from Meta Platforms (META), Reuters reported. The search giant is attempting to get ...

Microsoft is working with Anyscale to help you build, train, and run your own ML models with PyTorch on AKS. The move to building and training AI models at scale has had interesting second-order ...

Just faced a weird memory leak in my code that uses both numpy and pytorch on cpu (to exploit some scipy functionalities first, before using pytorch ones). Here is a minimal example that reproduces ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Basically I'm trying to wrap a cuda pointer as a pytorch tensor from python, with zero-copy. torch.from_buffer does not work here, and my final workaround is to use torch.as_tensor which supports the ...

Abstract: Piggybacking codes are a class of maximum distance separable (MDS) array codes that can achieve repair bandwidth reduction of single-node erasure by adding some piggyback functions to a ...

In a notable step toward democratizing vision-language model development, Hugging Face has released nanoVLM, a compact and educational PyTorch-based framework that allows researchers and developers to ...