PyTorch

Trends

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Rgpu lets PyTorch tensors live on a remote GPU●Show HN: Rgpu – a PyTorch device whose tensors live on a remote GPUYhn Technology Semiconductors5559 min ago
A developer has released Rgpu, an open-source tool that adds a PyTorch device type allowing tensors to be stored and processed on a remote GPU rather than a local machine. The project, shared on GitHub, aims to make GPU compute accessible without owning the hardware. It is drawing attention from developers interested in cheaper or more flexible access to machine learning compute.
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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 Software31 d 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.

PSRben/VisionHOPE Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
General-Instinct/InstinctFlash High-Performance Serving Runtime for Robotics Models
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
NVIDIA/Model-Optimizer A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture se