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PyTorch
Trends
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PyTorch, the open source machine learning framework built around tensors and dynamic neural networks in Python with strong GPU acceleration, is drawing heavy attention among developers worldwide. The project, maintained under the PyTorch organization on GitHub, remains one of the most widely followed Python repositories, reflecting its central role in AI research and production deep learning work.
- 2Rgpu lets PyTorch tensors run on remote GPUs●Show HN: Rgpu – a PyTorch device whose tensors live on a remote GPU
Developer ymcrcat has released Rgpu, an open-source tool that adds a PyTorch device type allowing tensors to live on a remote GPU rather than the local machine. The project, hosted on GitHub, is being discussed on Hacker News, where it drew attention from developers interested in accessing GPU compute over the network without owning hardware.
Repos
- pytorch/pytorch Tensors and Dynamic neural networks in Python with strong GPU acceleration
- 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
- mizorewww/laya-mlx Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or c
- PSRben/VisionHOPE Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.