Showing 1581 open source projects for "cpu-z linux"

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  • 1
    PennyLane

    PennyLane

    A cross-platform Python library for differentiable programming

    ..., PyTorch, JAX, or TensorFlow, allowing hybrid CPU-GPU-QPU computations. The same quantum circuit model can be run on different devices. Install plugins to run your computational circuits on more devices, including Strawberry Fields, Amazon Braket, Qiskit and IBM Q, Google Cirq, Rigetti Forest, and the Microsoft QDK.
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  • 2
    TensorFlow Addons

    TensorFlow Addons

    Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

    TensorFlow Addons is a repository of contributions that conform to well-established API patterns but implement new functionality not available in core TensorFlow. TensorFlow natively supports a large number of operators, layers, metrics, losses, and optimizers. However, in a fast-moving field like ML, there are many interesting new developments that cannot be integrated into core TensorFlow (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the...
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  • 3
    Ray

    Ray

    A unified framework for scalable computing

    Modern workloads like deep learning and hyperparameter tuning are compute-intensive and require distributed or parallel execution. Ray makes it effortless to parallelize single machine code — go from a single CPU to multi-core, multi-GPU or multi-node with minimal code changes. Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. Accelerate your hyperparameter search workloads with Ray Tune. Find the best...
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  • 4
    DCV Color Primitives

    DCV Color Primitives

    DCV Color Primitives Library

    DCV Color Primitives is a library to perform image color model conversion. Aware of the underlying hardware and supplemental cpu extension sets (up to avx2). Support data coming from a single buffer or coming from multiple image planes. Support non-tightly packed data. Support images greater than 4GB (64 bit). Convert an image from bgra to nv12 (single plane) format containing yuv in BT601. You might want to propagate errors to the caller function or mix with some other error types. So far...
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  • 5
    Amazon EC2 Instance Selector

    Amazon EC2 Instance Selector

    A CLI tool and go library which recommends instance types

    A CLI tool and go library which recommends instance types based on resource criteria like vcpus and memory. There are over 270 different instance types available on EC2 which can make the process of selecting appropriate instance types difficult. Instance Selector helps you select compatible instance types for your application to run on. The command-line interface can be passed resource criteria like vcpus, memory, network performance, and much more and then return the available, matching...
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  • 6
    Fluent Bit Amazon Kinesis Firehose

    Fluent Bit Amazon Kinesis Firehose

    A Fluent Bit output plugin for Amazon Kinesis Data Firehose

    A Fluent Bit output plugin for Amazon Kinesis Data Firehose. This plugin will continue to be supported. However, we are pausing development on it and will focus on the high-performance version instead. If the features of the higher performance plugin are sufficient for your use cases, please use it. It can achieve higher throughput and will consume less CPU and memory. This plugin has been tested with Fluent Bit 1.2.0+. It may not work with older Fluent Bit versions. We recommend using...
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  • 7
    Fluent Bit Plugin for CloudWatch Logs

    Fluent Bit Plugin for CloudWatch Logs

    A Fluent Bit output plugin for CloudWatch Logs

    .... A template in the form of $(variable) can be set in log_group_name or log_stream_name. variable can be a map key name in the log message. To access sub-values in the map use the form $(variable['subkey']). Also, it can be replaced with special values to insert the tag, ECS metadata, or a random string in the name. It can achieve higher throughput and will consume less CPU and memory.
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  • 8
    The Futhark Programming Language

    The Futhark Programming Language

    A data-parallel functional programming language

    Futhark is a small programming language designed to be compiled into efficient parallel code. It is a statically typed, data-parallel, and purely functional array language in the ML family, and comes with a heavily optimizing ahead-of-time compiler that presently generates either GPU code via CUDA and OpenCL, or multi-threaded CPU code. Futhark is not designed for graphics programming, but can instead use the compute power of the GPU to accelerate data-parallel array computations. The language...
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  • 9
    ko

    ko

    Build and deploy Go applications on Kubernetes

    ko is a simple, fast container image builder for Go applications. It's ideal for use cases where your image contains a single Go application without any/many dependencies on the OS base image (e.g., no cgo, no OS package dependencies). ko builds images by effectively executing go build on your local machine, and as such doesn't require docker to be installed. This can make it a good fit for lightweight CI/CD use cases. ko also includes support for simple YAML templating which makes it a...
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  • 10
    Riemann

    Riemann

    A network event stream processing system, in Clojure

    Riemann aggregates events from your servers and applications with a powerful stream processing language. Send an email for every exception in your app. Track the latency distribution of your web app. See the top processes on any host, by memory and CPU. Combine statistics from every Riak node in your cluster and forward to Graphite. Track user activity from second to second. Riemann streams are just functions which accept an event. Events are just structs with some common fields like :host...
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  • 11
    TensorFlow Model Garden

    TensorFlow Model Garden

    Models and examples built with TensorFlow

    ... are suitable. A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU).
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  • 12
    Citus

    Citus

    Distributed PostgreSQL as an extension

    Citus is a PostgreSQL extension that transforms Postgres into a distributed database, so you can achieve high performance at any scale. With Citus, you extend your PostgreSQL database with new superpowers. Distributed tables are sharded across a cluster of PostgreSQL nodes to combine their CPU, memory, storage and I/O capacity. References tables are replicated to all nodes for joins and foreign keys from distributed tables and maximum read performance. Distributed query engine routes...
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  • 13
    tvm

    tvm

    Open deep learning compiler stack for cpu, gpu, etc.

    Apache TVM is an open source machine learning compiler framework for CPUs, GPUs, and machine learning accelerators. It aims to enable machine learning engineers to optimize and run computations efficiently on any hardware backend. The vision of the Apache TVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging...
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  • 14
    AWS SDK for Go

    AWS SDK for Go

    AWS SDK for the Go programming language

    Get started quickly using AWS with the AWS SDK for Go. The SDK makes it easy to integrate your Go application with the full suite of AWS services including Amazon S3, Amazon DynamoDB, Amazon SQS, and more. The AWS SDK for Go simplifies use of AWS services by providing a set of libraries that are consistent and familiar for Go developers. It supports higher level abstractions for simplified development, such as Amazon S3 Transfer Manager for seamless concurrent multi-part file uploads and...
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  • 15
    DGL

    DGL

    Python package built to ease deep learning on graph

    ... want to make it easy to implement graph neural networks model family. We also want to make the combination of graph based modules and tensor based modules (PyTorch or MXNet) as smooth as possible. DGL provides a powerful graph object that can reside on either CPU or GPU. It bundles structural data as well as features for a better control. We provide a variety of functions for computing with graph objects including efficient and customizable message passing primitives for Graph Neural Networks.
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  • 16
    Typecho Blogging Platform

    Typecho Blogging Platform

    A PHP blogging platform, simple and powerful

    With only 7 data tables and less than 400KB of code, a complete plug-in and template mechanism is complete. Ultra-low CPU and memory usage is enough to give full play to the maximum performance of the host. Native support for Markdown typesetting syntax, easy to read and write. Support various cloud hosts such as BAE/GAE/SAE, even in the face of sudden high traffic, it can easily cope with it. The meticulously polished operation interface is still a familiar feature, but more mature...
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  • 17
    Bull

    Bull

    Queue package for handling distributed jobs and messages in NodeJS

    The fastest, most reliable, Redis-based queue for Node. Carefully written for rock solid stability and atomicity. If you want to start using the next major version of Bull written entirely in Typescript you are welcome to the new repo here. Otherwise you are very welcome to still use Bull, which is a safe, battle tested codebase. If you need high quality production Redis instances for your Bull projects, please consider subscribing to RedisGreen, leaders in Redis hosting that works perfectly...
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  • 18
    Tengine

    Tengine

    A distribution of Nginx with some advanced features

    Tengine is a web server originated by Taobao, the largest e-commerce website in Asia. It is based on the Nginx HTTP server and has many advanced features. Tengine has proven to be very stable and efficient on some of the top 100 websites in the world, including taobao.com and tmall.com. Tengine has been an open source project since December 2011. It is being actively developed by the Tengine team, whose core members are from Taobao, Sogou and other Internet companies. Tengine is a community...
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  • 19
    kcptun

    kcptun

    A stable and secure tunnel based on KCP with N:M multiplexing and FEC

    ... packets, which requires massive amount of computation, a low-end ARM device cannot satisfy kcptun well. To unleash the full potential of kcptun, a multi-core x86 homeserver CPU like AMD Opteron is recommended. If you insist on running under some ARM routers, you'd better turn off FEC and use salsa20 as the encryption method.
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  • 20
    LMAX Disruptor

    LMAX Disruptor

    High performance inter-thread messaging library

    LMAX aims to be the fastest trading platform in the world. Clearly, in order to achieve this we needed to do something special to achieve very low-latency and high-throughput with our Java platform. Performance testing showed that using queues to pass data between stages of the system was introducing latency, so we focused on optimising this area. The Disruptor is the result of our research and testing. We found that cache misses at the CPU-level, and locks requiring kernel arbitration are both...
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  • 21
    Tyk API Gateway

    Tyk API Gateway

    Open Source API Gateway written in Go

    Tyk is an open source Enterprise API Gateway, supporting REST, GraphQL, TCP and gRPC protocols. Tyk Gateway is provided ‘Batteries-included’, with no feature lockout. Enabling your organization to control who accesses your APIs, when they access, and how they access it. Tyk Technologies uses the same API Gateway for all it’s applications. Protecting, securing, and processing APIs for thousands of organizations and businesses around the world. Ideal for Open Banking, building software...
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  • 22
    hashcat

    hashcat

    World's fastest and most advanced password recovery utility

    hashcat is the world's fastest and most advanced password recovery utility, supporting five unique modes of attack for over 300 highly-optimized hashing algorithms. hashcat currently supports CPUs, GPUs, and other hardware accelerators on Linux, Windows, and macOS, and has facilities to help enable distributed password cracking. Download the latest release and unpack it in the desired location. Please remember to use 7z x when unpacking the archive from the command line to ensure full file...
    Downloads: 165 This Week
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  • 23
    GFPGAN

    GFPGAN

    GFPGAN aims at developing Practical Algorithms

    GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration. Colab Demo for GFPGAN; (Another Colab Demo for the original paper model) Online demo: Huggingface (return only the cropped face) Online demo: Replicate.ai (may need to sign in, return the whole image). Online demo: Baseten.co (backed by GPU, returns the whole image). We provide a clean version of GFPGAN, which can run without CUDA extensions. So that it can run in Windows or on CPU mode. GFPGAN aims at developing...
    Downloads: 31 This Week
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  • 24
    dotfiles

    dotfiles

    Aesthetic OpenboxWM Environment

    You might be here looking for (Linux) rice reference or to (full?) replicate my personal configuration of my favorite Openbox Window Manager and several apps as well. Debian-based Linux distributions. Arch-based Linux distributions. Gentoo source-based Linux distributions. Another independent Linux distribution. Berkeley Software Distribution (BSD) variants. Additionally Z shell with oh-my-zsh plugins. Aesthetics don't only look at the beauty of the results. There's beauty, in a sense, users...
    Downloads: 0 This Week
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  • 25
    Darknet YOLO

    Darknet YOLO

    Real-Time Object Detection for Windows and Linux

    This is YOLO-v3 and v2 for Windows and Linux. YOLO (You only look once) is a state-of-the-art, real-time object detection system of Darknet, an open source neural network framework in C. YOLO is extremely fast and accurate. It uses a single neural network to divide a full image into regions, and then predicts bounding boxes and probabilities for each region. This project is a fork of the original Darknet project.
    Downloads: 88 This Week
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