Search Results for "cpu gpu monitor"
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Showing 317 open source projects for "cpu gpu monitor"
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CPU Info
CPU Info provides information about device hardware and software
CPU Info provides the main information about the hardware and software of your device. -
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NVIDIA Linux Open GPU Kernel Module
NVIDIA Linux open GPU kernel module source
This is the source release of the NVIDIA Linux open GPU kernel modules, version 530.41.03. Note that the kernel modules built here must be used with GSP firmware and user-space NVIDIA GPU driver components from a corresponding 530.41.03 driver release. Currently, the kernel modules can be built for x86_64 or aarch64. If cross-compiling, set these variables on the make command line. Any reasonably modern version of GCC or Clang can be used to build the kernel modules. Note that the kernel... -
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DXVK
Vulkan-based implementation of D3D9, D3D10 and D3D11 for Linux / Wine
... unsupported features, such as shared resources, predication, class linkage and target-independent rasterization. To get the best results out of this project, it is recommended that you use an esync-enabled Wine build to reduce CPU overhead in some games, and to disable desktop effects on your compositor, as this can cause stuttering issues when games are GPU-bound. -
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QtScrcpy
Android real-time display control software
QtScrcpy connects to Android devices via USB (or via TCP/IP) for display and control. It does NOT require the root privileges. It supports three major platforms: GNU/Linux, Windows and MacOS. You can write your own script to map keyboard and mouse actions to touches and clicks of the mobile phone according to your needs. A script for "PUBG mobile" and TikTok mapping is provided by default. Once enabled, you can play the game with your keyboard and mouse as the PC version. or you can use... -
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Upscayl
Free and Open Source AI Image Upscaler for Linux, MacOS and Windows
Free and Open Source AI Image Upscaler for Linux, MacOS and Windows built with Linux-First philosophy. Upscayl is a cross-platform application built with the Linux-first philosophy. This means that we prioritize Linux builds over others but that doesn't mean we'll break things for other OSes. Upscayl does not work without a GPU, sorry. You'll need a Vulkan-compatible GPU to upscale images. CPU or iGPU won't work. You can also download the flatpak version and double-click the flatpak file... -
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Roop
One-click face swap
Take a video and replace the face with a face of your choice. You only need one image of the desired face. No dataset, and no training. -
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MangoHud
A Vulkan and OpenGL overlay for monitoring FPS, temperatures, CPU/GPU
A Vulkan and OpenGL overlay for monitoring FPS, temperatures, CPU/GPU load and more. mangoplot is a plotting script that is shipped with MangoHud: on a given folder, it takes each log file, makes a 1D heatmap of its framerates, then stacks the heat maps vertically to form a 2D graph for easy visual comparison between benchmarks. -
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XMRig
RandomX, KawPow, CryptoNight, AstroBWT and GhostRider unified miner
High performance, open-source, cross-platform RandomX, KawPow, CryptoNight, and AstroBWT CPU/GPU miner, RandomX benchmark, and stratum proxy. XMRig is a high-performance, open-source, cross-platform RandomX, KawPow, CryptoNight, and AstroBWT unified CPU/GPU miner and RandomX benchmark. Official binaries are available for Windows, Linux, macOS, and FreeBSD. The preferred way to configure the miner is the JSON config file as it is more flexible and human-friendly. The command-line interface does... -
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ComfyUI
The most powerful and modular diffusion model GUI, api and backend
The most powerful and modular diffusion model is GUI and backend. This UI will let you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart-based interface. We are a team dedicated to iterating and improving ComfyUI, supporting the ComfyUI ecosystem with tools like node manager, node registry, cli, automated testing, and public documentation. Open source AI models will win in the long run against closed models and we are only at the beginning. Our core mission... -
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airgeddon
This is a multi-use bash script for Linux systems
airgeddon is an alive project growing day by day. Interface mode switcher (Monitor-Managed) keeping selection even on interface name changing. DoS over wireless networks using different methods (mdk3, mdk4, aireplay-ng). "DoS Pursuit mode" is available to avoid AP channel hopping (available also on DoS performed on Evil Twin attacks). Full support for 2.4Ghz and 5Ghz bands. Assisted WPA/WPA2 personal networks Handshake file and PMKID capturing. Cleaning and optimizing Handshake captured files... -
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Intel PCM
Intel® Performance Counter Monitor (Intel® PCM)
Intel® Performance Counter Monitor (Intel® PCM) is an application programming interface (API) and a set of tools based on the API to monitor performance and energy metrics of Intel® Core™, Xeon®, Atom™ and Xeon Phi™ processors. PCM works on Linux, Windows, Mac OS X, FreeBSD, DragonFlyBSD and ChromeOS operating systems. -
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OpenVINO
OpenVINO™ Toolkit repository
... 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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MESHROOM
3D reconstruction software
... into HDR. Alignment of panorama images. Support for fisheye optics. Automatically estimate fisheye circle or manually edit it. Take advantage of motorized-head file. Easy to integrate in your Renderfarm System. Add specific rules to select the most suitable machines regarding CPU, RAM, GPU requirements of each Node. -
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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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DeSmuME
DeSmuME is a Nintendo DS emulator
In this version we have added support for high-resolution 3D rendering. Try the new “GPU Scaling Factor” feature to increase the 3D resolution beyond the native resolution of 256×192 pixels. Also, the Cocoa frontend sees continued radical enhancements and while the Windows frontend sees some new incremental enhancements. DeSmuME is a very CPU demanding app. While many users will see DeSmuME as a toy (and use it as such), it is actually a very sophisticated piece of software with lots... -
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Keras
Python-based neural networks API
Python Deep Learning library -
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mactop
Apple Silicon Monitor Top written in pure Golang
mactop is a terminal-based monitoring tool "top" designed to display real-time metrics for Apple Silicon chips. It provides a simple and efficient way to monitor CPU and GPU usage, E-Cores and P-Cores, power consumption, and other system metrics directly from your terminal. -
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Text Generation Web UI
A gradio web UI for running Large Language Models like LLaMA
... efficient text streaming. Parameter presets, 8-bit mode. Layers splitting across GPU(s), CPU, and disk. CPU mode, FlexGen, DeepSpeed ZeRO-3, API with streaming and without streaming. LLaMA model, including 4-bit GPTQ. RWKV model, LoRA (loading and training), Softprompts, and extensions. -
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conky
Light-weight system monitor for X
Conky is a free, light-weight system monitor for X, that displays any kind of information on your desktop. Conky is free software and runs in X on Linux and BSD. Originally a fork of Torsmo, Conky's torsmo-based code is BSD licensed. New code in Conky has been licensed under GPL 3.0. Since its inception, Conky has changed significantly from its predecessor, while maintaining simplicity and configurability. Conky can display just about anything, either on your root desktop, in its own window... -
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Deep Java Library (DJL)
An engine-agnostic deep learning framework in Java
... favorite IDE to build, train, and deploy your models. DJL makes it easy to integrate these models with your Java applications. Because DJL is deep learning engine agnostic, you don't have to make a choice between engines when creating your projects. You can switch engines at any point. To ensure the best performance, DJL also provides automatic CPU/GPU choice based on hardware configuration. -
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers... -
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LibreHardwareMonitor
Libre Hardware Monitor, home of the fork of Open Hardware Monitor
LibreHardwareMonitor is a hardware monitoring tool that provides real-time data on system temperatures, fan speeds, and voltages across PC components. -
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Tracy Profiler
Frame profiler
A real-time, nanosecond resolution, remote telemetry, hybrid frame, and sampling profiler for games and other applications. Tracy supports profiling CPU (Direct support is provided for C, C++, Lua and Python integration. At the same time, third-party bindings to many other languages exist on the internet, such as Rust, Zig, C#, OCaml, Odin, etc.), GPU (All major graphic APIs: OpenGL, Vulkan, Direct3D 11/12, OpenCL.), memory allocations, locks, context switches, automatically attribute... -
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NIM Pools Hub Miner
CPU & GPU Nimiq Miner for NVIDIA & AMD
Nimiq Miner with a focus on user experience and ease of use. -
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ncnn
High-performance neural network inference framework for mobile
ncnn is a high-performance neural network inference computing framework designed specifically for mobile platforms. It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. It is cross-platform and supports most commonly used CNN networks, including...