16 projects for "cpu-z linux" with 2 filters applied:

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  • 1
    Piscina

    Piscina

    A fast, efficient Node.js Worker Thread Pool implementation

    Piscina is a fast, efficient Node.js worker thread pool implementation, designed to perform heavy CPU-bound tasks in parallel, thereby improving application performance.
    Downloads: 1 This Week
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  • 2
    Prezto

    Prezto

    The configuration framework for Zsh

    prezto is a configuration framework for the Z shell (zsh) that enhances the shell environment with a curated set of defaults, plugins, aliases, and themes. It is designed to provide a fast, powerful, and highly customizable shell experience out of the box. Prezto includes modules for common tasks such as history management, directory navigation, command completions, and syntax highlighting, making zsh more efficient and user-friendly. By focusing on performance, it avoids the slowdowns often...
    Downloads: 1 This Week
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  • 3
    Phalcon

    Phalcon

    High performance, full-stack PHP framework delivered as a C extension

    Its innovative architecture makes Phalcon the fastest PHP framework ever built! Developers do not need to know C to use Phalcon. Its functionality is exposed as PHP classes and interfaces under the Phalcon namespace, ready to be used. Zephir/C extensions are loaded together with PHP one time on the web server's daemon start process. Classes and functions provided by the extension are ready to use for any application. The code is compiled and isn't interpreted because it's already compiled to...
    Downloads: 18 This Week
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  • 4
    SDWebImageSwiftUI

    SDWebImageSwiftUI

    SwiftUI Image loading and Animation framework powered by SDWebImage

    SDWebImageSwiftUI is a SwiftUI image-loading framework, which is based on SDWebImage. It brings all your favorite features from SDWebImage, like async image loading, memory/disk caching, animated image playback and performances. The framework provide the different View structs, which API match the SwiftUI framework guideline. If you're familiar with Image, you'll find it easy to use WebImage and AnimatedImage. Since SDWebImageSwiftUI is built on top of SDWebImage, it provide both the...
    Downloads: 3 This Week
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  • 5
    bitnet.cpp

    bitnet.cpp

    Official inference framework for 1-bit LLMs

    bitnet.cpp is the official open-source inference framework and ecosystem designed to enable ultra-efficient execution of 1-bit large language models (LLMs), which quantize most model parameters to ternary values (-1, 0, +1) while maintaining competitive performance with full-precision counterparts. At its core is bitnet.cpp, a highly optimized C++ backend that supports fast, low-memory inference on both CPUs and GPUs, enabling models such as BitNet b1.58 to run without requiring enormous...
    Downloads: 5 This Week
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  • 6
    Chipyard

    Chipyard

    An Agile RISC-V SoC Design Framework with in-order cores

    Chipyard is a framework and generator for constructing custom RISC‑V SoC hardware. Built at UC Berkeley, it leverages Chisel/FIRRTL to generate full-stack systems—from CPU cores to peripherals—and includes simulators, FPGA deployment tools, and integration with Rocket Chip and other RISC‑V ecosystems.
    Downloads: 0 This Week
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  • 7
    Axe

    Axe

    Logger-agnostic wrapper that normalizes logs regardless of arg style

    Logger-agnostic wrapper that normalizes logs regardless of arg style. Great for large dev teams, old/new projects, and works w/Pino, Bunyan, Winston, console, and more. It is lightweight, performant, highly-configurable, and automatically adds OS, CPU, and Git information to your logs. Hooks, dot-notation remap, omit, and pick of metadata. Axe was built to provide consistency among development teams when it comes to logging. You not only have to worry about your development team using the...
    Downloads: 3 This Week
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  • 8
    TorchQuantum

    TorchQuantum

    A PyTorch-based framework for Quantum Classical Simulation

    A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing.
    Downloads: 2 This Week
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  • 9
    MetalPetal

    MetalPetal

    A GPU accelerated image and video processing framework built on Metal

    MetalPetal is an image processing framework based on Metal designed to provide real-time processing for still images and video with easy-to-use programming interfaces. This chapter covers the key concepts of MetalPetal, and will help you to get a better understanding of its design, implementation, performance implications, and best practices. A MTIImage object is a representation of an image to be processed or produced. It does directly represent image bitmap data instead it has all the...
    Downloads: 1 This Week
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  • 10
    Mocha.jl

    Mocha.jl

    Deep Learning framework for Julia

    Mocha.jl is a deep learning framework for Julia, inspired by the C++ Caffe framework. It offers efficient implementations of gradient descent solvers and common neural network layers, supports optional unsupervised pre-training, and allows switching to a GPU backend for accelerated performance. The development of Mocha.jl happens in relative early days of Julia. Now that both Julia and the ecosystem has evolved significantly, and with some exciting new tech such as writing GPU kernels...
    Downloads: 0 This Week
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  • 11
    SW Test Automation Framework
    The Software Testing Automation Framework (STAF) is a framework designed to improve the level of reuse and automation in test cases and test environments. The goal of STAF is to provide a complete end-to-end automation solution for testers.
    Downloads: 34 This Week
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  • 12
    A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. Each microthread is conceptually similar to a task in Ada and it is much lighter weight than an operating system thread. SpikeOS was designed to handle millions of microthreads, for example in a neural network hosting millions of spiking model neurons. SpikeOS handles microthread scheduling, synchronization, distribution...
    Downloads: 0 This Week
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  • 13
    A light-weight cross platform C++ library for console and file I/O, fast data structures and algorithms, CPU identification (CPUID), and sockets (TCP and UDP).
    Downloads: 0 This Week
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  • 14
    A Java collections framework based on set theory, specifically, from Spivey's work on the Z notation (a formal specification language).
    Downloads: 0 This Week
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  • 15
    This is a small C-library to create an maintain the tray icons in your own programs and a set of tiny lightning-fast trayicon utilities to show the cpu-load, mem-load, xkb-layout & mixer-volumes.
    Downloads: 0 This Week
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  • 16
    AdaptiveCells J2EE generates test-beds for benchmarking J2EE performance. They consists of highly customizable EJB cells that can emulate CPU load, memory usage, memory leaks and exceptions. The behaviour of the cells is coordinated from a web front-end.
    Downloads: 0 This Week
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