PyTorch

Trends

1
Rgpu lets PyTorch tensors live on remote GPUs●Show HN: Rgpu – a PyTorch device whose tensors live on a remote GPUYhn Technology Semiconductors5016 min ago
Developer ymcrcat released Rgpu, an open-source tool that adds a PyTorch device type storing tensors on a remote GPU, letting users run deep learning workloads on hardware they do not physically hold. The project, shared on Hacker News, drew attention from developers interested in cheaper or shared GPU access for machine learning without local hardware.
2
Hugging Face Transformers v5 drops TensorFlow and JAX support●Hugging Face Transformers v5 removed its TensorFlow and JAX code to focus on PyTorch. If you used... # ai # tutorial # oMmastodon Technology Software312 h ago
Hugging Face has released Transformers v5, removing TensorFlow and JAX code from the widely used open-source machine learning library to focus development on PyTorch. The change is drawing attention from developers who relied on those frameworks, including those working on sentence embeddings in JAX, who now face migrating workflows or finding alternatives.

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
PSRben/VisionHOPE Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
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