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PyTorch
Trends
- 1Rgpu lets PyTorch tensors live on a remote GPU●Show HN: Rgpu – a PyTorch device whose tensors live on a remote GPU
A developer has released Rgpu, an open-source tool that adds a PyTorch device type whose tensors are stored and processed on a remote GPU rather than a local one. The project, available on GitHub, is being discussed on Hacker News, where readers are weighing its usefulness for running deep-learning workloads without owning GPU hardware.
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PyTorch, the open source Python framework for tensors and dynamic neural networks with strong GPU acceleration, is drawing heavy attention from developers worldwide. The project, maintained on GitHub under the pytorch/pytorch repository, remains a central tool for machine learning research and production, and its ongoing activity is keeping it firmly in global developer conversations.
Repos
- pytorch/pytorch Tensors and Dynamic neural networks in Python with strong GPU acceleration
- PSRben/VisionHOPE Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
- ymcrcat/rgpu Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA i