Cloudian has announced an open-source software contribution that fuses PyTorch, the widely acclaimed machine learning library, with local Cloudian HyperStore S3-compatible storage solutions.

A pair of security researchers managed to infiltrate the development infrastructure for PyTorch by using new techniques that exploit insecure configurations in GitHub Actions workflows.

This breakthrough simplifies the machine learning workflow and reduces costs by allowing ... the computational power of PyTorch and the storage flexibility of Cloudian S3-compatible systems ...

[Click on image for larger view.] PyTorch Workflow (source: LearnPyTorch.io). Meta emphasized the move will democratize access to state-of-the-art AI tools, libraries and other components to ...

zkPyTorch removes that barrier, integrating directly with standard PyTorch workflows and outputting circuits ready for ZKP engines like Expander, the world's fastest prover, created by Polyhedra.

PyTorch is seeing particularly strong adoption ... the team set about combining techniques to create an image processing workflow for drill core imagery. This involved developing a series of ...

PyTorch is an open-source machine learning ... and there’s a lack of clear standardization to manage end-to-end workflows. Another problem is that researchers were forced to choose among AI ...

And almost all of these deep learning applications are written in one of three frameworks: TensorFlow, PyTorch, and JAX. Which of these deep learning frameworks should you use? In this article ...

and PyTorch Hub, a workflow and API meant to encourage reproducibility of AI models. Ax and BoTorch, tools for machine learning experimentation and Bayesian model optimization, got introduced in ...