Search Results for "intel gpu"
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Showing 22 open source projects for "intel gpu"
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Intel Extension for PyTorch
A Python package for extending the official PyTorch
...Moreover, Intel® Extension for PyTorch* provides easy GPU acceleration for Intel discrete GPUs through the PyTorch* xpu device. -
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NVTOP
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel
NVTOP stands for Neat Video card TOP, a (h) top-like task monitor for GPUs and accelerators. It can handle multiple GPUs and print information about them in a htop-familiar way. Currently supported vendors are AMD (Linux AMD GPU driver), Apple (limited M1 & M2 support), Huawei (Ascend), Intel (Linux i915 driver), NVIDIA (Linux proprietary divers), and Qualcomm Adreno (Linux MSM driver). -
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GameMode
Optimise Linux system performance on demand
GameMode is a daemon/lib combo for Linux that allows games to request a set of optimizations be temporarily applied to the host OS and/or a game process. GameMode was designed primarily as a stop-gap solution to problems with the Intel and AMD CPU power save or on-demand governors but is now host to a range of optimization features and configurations. -
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oneDNN
oneAPI Deep Neural Network Library (oneDNN)
This software was previously known as Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) and Deep Neural Network Library (DNNL). oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. oneDNN is part of oneAPI. The library is optimized for Intel(R) Architecture Processors, Intel Processor Graphics and Xe Architecture graphics. oneDNN has experimental support for the following architectures: Arm* 64-bit Architecture (AArch64), NVIDIA* GPU, OpenPOWER* Power ISA (PPC64), IBMz* (s390x), and RISC-V. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs. ... -
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waifu2x ncnn Vulkan
waifu2x converter ncnn version, run fast GPU with vulkan
ncnn implementation of waifu2x converter. Runs fast on Intel/AMD/Nvidia/Apple-Silicon with Vulkan API. waifu2x-ncnn-vulkan uses ncnn project as the universal neural network inference framework. -
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OpenVINO
OpenVINO™ Toolkit repository
...Boost deep learning performance in computer vision, automatic speech recognition, natural language processing and other common tasks. Use models trained with popular frameworks like TensorFlow, PyTorch and more. Reduce resource demands and efficiently deploy on a range of Intel® platforms from edge to cloud. This open-source version includes several components: namely Model Optimizer, OpenVINO™ Runtime, Post-Training Optimization Tool, as well as CPU, GPU, MYRIAD, multi device and heterogeneous plugins to accelerate deep learning inferencing on Intel® CPUs and Intel® Processor Graphics. It supports pre-trained models from the Open Model Zoo, along with 100+ open source and public models in popular formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe, Kaldi. -
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Apple Silicon Guide
Learn all about the A17 Pro, A16 Bionic, R1, M1-series
...For creative and power users, there are performance recommendations for video/audio production, machine learning workflows, and GPU-accelerated tasks. -
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LibreHardwareMonitor
Monitor temperature sensors, fan speed, voltage, load & clock speeds
...The project includes both a Windows Forms application for visual monitoring and a reusable library for developers who want to integrate hardware monitoring into their own software. LibreHardwareMonitor supports modern Intel and AMD CPUs, major GPU vendors, storage devices, and network adapters. Built on modern .NET versions, it continues to evolve with frequent updates and broad community contributions. Licensed under MPL 2.0, it offers a transparent and extensible alternative to proprietary hardware monitoring tools. -
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CTranslate2
Fast inference engine for Transformer models
...The project supports x86-64 and AArch64/ARM64 processors and integrates multiple backends that are optimized for these platforms: Intel MKL, oneDNN, OpenBLAS, Ruy, and Apple Accelerate. -
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Jan.ai
Open source alternative to ChatGPT that runs 100% offline
Jan.ai is an open-source, privacy-focused AI assistant that serves as an alternative to ChatGPT, running completely locally on your device. It allows you to download and run LLMs (local language models) offline while also offering optional integration with cloud-based model providers—giving you full control over your data and AI interactions. Download and run LLMs (Llama, Gemma, Qwen, GPT-oss etc.) from HuggingFace. Connect to GPT models via OpenAI, Claude models via Anthropic, Mistral,... -
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AWS Deep Learning Containers
A set of Docker images for training and serving models in TensorFlow
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference, transforms etc. They've been tested for machine learning workloads on Amazon EC2, Amazon ECS and Amazon EKS services as well. ... -
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This is a freedom software and it obeys opensource initiative. The main purpose of this project is to bring extra updates to the existing Octave OCL project with more supporting PC devices like Intel GPU, AMD APUs, and Apple Silicon GPU as well as mobile devices like Qualcomm GPUs. Ever since started providing extra GPU Compute support, it has been for OpenCL-enabled hardware and this promise will not change for OpenSource community. My profile is here: https://www.researchgate.net/profile/Jinchuan-Tang-4. Meanwhile, I have a plan to add clBlast to this project to speed up matrix multiplication by 5 times or more. ...
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Roblox Shaders
Roblox Shader – Download on Any GPU
Roblox Shader – Universal Graphics Enhancement for All GPUs Roblox Shader is a high-performance, universal shader mod designed to enhance Roblox graphics with realistic lighting, shadows, and post-processing effects. This shader pack is optimized for all graphics cards, including NVIDIA, AMD, and Intel GPUs, ensuring compatibility across virtually any system. Whether you're looking to improve Roblox visuals with better lighting or want a more immersive gaming experience, Roblox Shader... -
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AMD APU Tuning Utility
Unlock the full potential of your Zen-based APU with AMD APU Tuning
...The development of this utility is spearheaded by the same talented team that brought us popular applications like Ryzen Controller, Renoir Mobile Tuning, and Power Control Panel. Universal x86 Tuning Utility serves as a lightweight alternative to well-known software like Ryzen Master and Intel XTU (Extreme Tuning Utility). One of the main features of the utility is the fine-grained control it offers over the device's processor and GPU(s). Users can access a wide range of settings, allowing them to adjust clock speeds, power limits, voltages, and other performance-related parameters. -
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Throttled
Workaround for Intel throttling issues in Linux
This tool was originally developed to fix Linux CPU throttling issues affecting Lenovo T480 / T480s / X1C6. The CPU package power limit (PL1/2) is forced to a value of 44 W (29 W on battery) and the temperature trip point to 95 'C (85 'C on battery) by overriding default values in MSR and MCHBAR every 5 seconds (30 on battery) to block the Embedded Controller from resetting these values to default. On systems where the EC doesn't reset the values (ex: ASUS Zenbook UX430UNR), the power limit... -
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SageMaker MXNet Inference Toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker
...AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference, transforms etc. They've been tested for machine learning workloads on Amazon EC2, Amazon ECS and Amazon EKS services as well. -
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YOLO ROS
YOLO ROS: Real-Time Object Detection for ROS
...Darknet on the CPU is fast (approximately 1.5 seconds on an Intel Core i7-6700HQ CPU @ 2.60GHz × 8) but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. The CMakeLists.txt file automatically detects if you have CUDA installed or not. CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. -
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TensorFlow MacOS
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute
This repository provided a pre-release of TensorFlow and TensorFlow Addons tailored for macOS 11+ with native hardware acceleration via Apple’s ML Compute, supporting both Apple Silicon (M1) and Intel Macs. It shipped ready-made Python 3.8 wheels and install scripts so developers could quickly get an accelerated stack running without building from source. As TensorFlow added a Metal PluggableDevice path, the project directed users toward using Apple’s tensorflow-metal to get GPU acceleration on Mac directly through Metal. The README and releases emphasized this was a macOS-optimized distribution, not an upstream fork of TensorFlow, and it cataloged common installation notes and issues encountered by early Apple Silicon users. ... -
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SoliditySHA3Miner
All-in-one mixed multi-GPU (nVidia, AMD, Intel) & CPU miner
All-in-one mixed multi-GPU (nVidia, AMD, Intel) & CPU miner solves proof of work to mine supported EIP918 tokens in a single instance (with API). -
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Intel neon
Intel® Nervana™ reference deep learning framework
...Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu backend is selected by default, so the above command is equivalent to if a compatible GPU resource is found on the system. The Intel Math Kernel Library takes advantages of the parallelization and vectorization capabilities of Intel Xeon and Xeon Phi systems. ... -
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Accelerated Feature Extraction Tool
A fast GPU accelerated feature extraction software for speech analysis
A fast feature extraction software tool for speech analysis and processing. It incorporates standard MFCC, PLP, and TRAPS features. The tool is a specially designed to process very large audio data sets. It uses GPU acceleration if compatible GPU available (CUDA as weel as OpenCL, NVIDIA, AMD, and Intel GPUs are supported). CPU SSE intrinsic instruction set is used in cases where no compatible GPU present. The output files are stored in HTK format. The software is developed at Department of Cybernetics at University of West Bohemia in Pilsen. -
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Open Broadcaster Software
Free, open source software for live streaming and recording
NOTE: Please visit our website for downloads. Open Broadcaster Software is free and open source software for the purposes of streaming live media content to the internet or to video files. Originally I made Open Broadcaster Software for myself because I thought "why should I pay a subscription for software I could probably write?" And so, I did and Open Broadcaster Software evolved into somewhat of a monster of a project. That's pretty much the Open Broadcaster Software story. I hope...
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