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PyTorch Driving Monitor
DBSE-monitor - PyTorch Summer Hackathon @NVIDIADeveloper
A PyTorch and OPEA based AI Audio Avatar Chatbot | Tech Talk | Innovation Selects
Getting Started With PyTorch on AMD GPUs: Community & Partner Talk at PyTorch Conference 2022
PyTorch Community Voices | HuggingFace | Sylvain and Lysandre
CPU accelerated fine-tuning for image segmentation using PyTorch
…Reference Introducing and Using Intel® Extension for PyTorch Intel® Extension for PyTorch is a Python extension of PyTorch that aims to improve the computational performance of PyTorch on Intel® Xeon® Processors. Not…
…It supports HPC and AI workloads, enabling developers to train and serve models at scale using familiar frameworks like PyTorch. ROCm Software for AI is Easier Than You Think Learn More about…
…Model Name Framework faceboxes-pytorch PyTorch fast-neural-style-mosaic-onnx PyTorch googlenet-v2-tf TensorFlow hbonet-1.0 PyTorch hbonet-0.5 PyTorch hbonet-0.25 PyTorch mobilefacedet-v1-mxnet MXNet…
…Now supports TensorFlow 2.14, PyTorch 2.2, and ONNX-RT 1.15. For oneDNN, oneCCL and oneDAL – see performance libraries section. Overall, get AI frameworks and tools faster with a flexible…
The smile-deep module provides idiomatic Java API for deep learning on the JVM while still reaching CPU, CUDA, and MPS backends by wrapping the PyTorch / LibTorch C++ runtime. It also provides tiktoken BPE tokenizer, LLa…
Show HN: Alloy – a PyTorch backend and inference engine for Apple Silicon
Running PyTorch Models on Apple Silicon GPUs with the ExecuTorch MLX Delegate
Running PyTorch Models on Apple Silicon GPUs with the ExecuTorch MLX Delegate
Show HN: We built an LLM inference engine in pure Python – no PyTorch, no Triton
…Brevitas Brevitas is a PyTorch library enabling flexible neural network quantization, supporting both post-training (PTQ) and quantization-aware training (QAT). Chakra Chakra is an open, portable benchmarking and co-design ecosystem…
…USB-C® interface for Windows, Linux, Android compatibility; also supports AI frameworks like TensorFlow, PyTorch, and ONNX TAIPEI, Taiwan, April 1, 2026 — ASUS today announced the UGen300 USB AI Accelerator — the first…
…Launched in 2016 with native CUDA support, PyTorch has coevolved with NVIDIA’s architecture, giving developers access to innovations such as Tensor Cores, Transformer Engine and NVFP4 directly through a familiar framework…
…When deployed with Triton Inference Server, inference with the Pytorch AOTI backend & no KV cache delivers a 1.14x ~ 1.28x speedup over the Python backend, and inference with the Pytorch AOTI…
…Use the EMNIST Balanced character dataset to train a PyTorch model to deploy on Jetson Nano using Docker, with a web interface served by Flask. Works with... Jetson Nano Resources View project…
…Starting with release 2024.0, model inputs and outputs will no longer have tensor names, unless explicitly set to align with the PyTorch framework behavior. Component: GPU runtime. ID: 132376 Description: First…