Search Results for "cpu-g" - Page 7
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Showing 1138 open source projects for "cpu-g"
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Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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Our robust pre-built connectors and our no-code, drag-and-drop interface makes it easy and fast to automatically sync vendors, invoices, and invoice payment data between Tipalti and your ERP or accounting software.
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DeepDetect
Deep Learning API and Server in C++14 support for Caffe, PyTorch
... of image tagging, object detection, segmentation, OCR, Audio, Video, Text classification, CSV for tabular data and time series. Neural network templates for the most effective architectures for GPU, CPU, and Embedded devices. Training in a few hours and with small data thanks to 25+ pre-trained models. Full Open Source, with an ecosystem of tools (API clients, video, annotation, ...) Fast Server written in pure C++, a single codebase for Cloud, Desktop & Embedded. -
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MegEngine
Easy-to-use deep learning framework with 3 key features
.... Gain the lowest memory usage when inferencing a model by leveraging our unique pushdown memory planner. NOTE: MegEngine now supports Python installation on Linux-64bit/Windows-64bit/MacOS(CPU-Only)-10.14+/Android 7+(CPU-Only) platforms with Python from 3.5 to 3.8. On Windows 10 you can either install the Linux distribution through Windows Subsystem for Linux (WSL) or install the Windows distribution directly. Many other platforms are supported for inference. -
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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... -
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Implicit
Fast Python collaborative filtering for implicit feedback datasets
This project provides fast Python implementations of several different popular recommendation algorithms for implicit feedback datasets. All models have multi-threaded training routines, using Cython and OpenMP to fit the models in parallel among all available CPU cores. In addition, the ALS and BPR models both have custom CUDA kernels - enabling fitting on compatible GPU’s. This library also supports using approximate nearest neighbour libraries such as Annoy, NMSLIB and Faiss for speeding up... -
BrightGauge, a ConnectWise solution, was started in 2011 to fill a missing need in the small-to-medium IT Services industry: a better way to manage data and provide the value of work to clients. BrightGauge Software allows you to display all of your important business metrics in one place through the use of gauges, dashboards, and client reports. Used by more than 1,800 companies worldwide, BrightGauge integrates with popular business solutions on the market, like ConnectWise, Continuum, Webroot, QuickBooks, Datto, IT Glue, Zendesk, Harvest, Smileback, and so many more. Dig deeper into your data by adding, subtracting, multiplying, and dividing one metric against another. BrightGauge automatically computes these formulas for you. Want to show your prospects how quick you are to respond to tickets? Show off your data with embeddable gauges on public sites.
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barco
Linux containers from scratch in C
barco is a project I worked on to learn more about Linux containers and the Linux kernel, based on other guides on the internet. Linux containers are made up by a set of Linux kernel features. namespaces: are used to group kernel objects into different sets that can be accessed by specific process trees. There are different types of namespaces, for example,the PID namespace is used to isolate the process tree, while the network namespace is used to isolate the network stack. -
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Compute Library
The Compute Library is a set of computer vision and machine learning
The Compute Library is a set of computer vision and machine learning functions optimized for both Arm CPUs and GPUs using SIMD technologies. The library provides superior performance to other open-source alternatives and immediate support for new Arm® technologies e.g. SVE2. -
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Aria2 AriaNg Docker
The Docker image for Aria2 + AriaNg + File Browser + Rclone
One Docker image for file downloading, managing, sharing, as well as video playing and evening cloud storage synchronization. Furthermore, it's pretty small and ARM CPU compatible which means you can also run it on Raspberry Pi. Last but not least, Auto HTTPS can't be more easy. -
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Apache SkyWalking Java Agent
The Java agent for Apache SkyWalking
SkyWalking-Java: The Java Agent for Apache SkyWalking, which provides native tracing/metrics/logging abilities for Java projects. SkyWalking: an APM(application performance monitor) system, specially designed for microservices, cloud-native and container-based (Docker and Kubernetes) architectures. -
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EvoTrees.jl
Boosted trees in Julia
A Julia implementation of boosted trees with CPU and GPU support. Efficient histogram-based algorithms with support for multiple loss functions, including various regressions, multi-classification and Gaussian max likelihood. -
With the world of work changed forever, it’s essential to manage your workplace and assets together to effectively create a high-performing environment. The Eptura experience combines the power of workplace management software with asset management, enabling you to effectively operate your building and facilitate hybrid work.
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JobRunr
An extremely easy way to perform background processing in Java
Incredibly easy way to perform fire-and-forget, delayed, scheduled and recurring jobs inside Java applications using only Java 8 lambda's. CPU and I/O intensive, long-running and short-running jobs are supported. Persistent storage is done via either RDBMS (e.g. Postgres, MariaDB/MySQL, Oracle, SQL Server, DB2 and SQLite) or NoSQL (ElasticSearch, MongoDB and Redis). JobRunr provides a unified programming model to handle background tasks in a reliable way and runs them on shared hosting... -
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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... -
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UCall
Up to 100x Faster FastAPI. JSON-RPC with io_uring, SIMDJSON
Most modern networking is built either on slow and ambiguous REST APIs or unnecessarily complex gRPC. FastAPI, for example, looks very approachable. We aim to be equally or even simpler to use. It takes over a millisecond to handle a trivial FastAPI call on a recent 8-core CPU. In that time, light could have traveled 300 km through optics to the neighboring city or country, in my case. How does UCall compare to FastAPI and gRPC? How can a tiny pet-project with just a couple thousand lines... -
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pytorch-cpp
C++ Implementation of PyTorch Tutorials for Everyone
... tutorials in one of the categories basics, intermediate, advanced or popular. You can build and run the tutorials (on CPU) in a Docker container using the provided Dockerfile and docker-compose.yml files. -
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Get Node.js
Download a specific version of Node.js
Download a specific version of Node.js. The Node.js release is downloaded, uncompressed and untared to an executable file ready to run. node >=14.18.0 must be globally installed. However any Node version can be downloaded. This package is an ES module and must be loaded using an import or import() statement, not require(). Node.js binary's CPU architecture. This is useful for example when you're on x64 but would like to run Node.js x32. -
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Kubernetes Autoscaler
Autoscaling components for Kubernetes
This repository contains autoscaling-related components for Kubernetes. Cluster Autoscaler, a component that automatically adjusts the size of a Kubernetes Cluster so that all pods have a place to run and there are no unneeded nodes. Supports several public cloud providers. Version 1.0 (GA) was released with kubernetes 1.8. Vertical Pod Autoscaler, a set of components that automatically adjust the amount of CPU and memory requested by pods running in the Kubernetes Cluster. Addon Resizer... -
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SFSafe Symbols
Safely access Apple's SF Symbols using static typing
At WWDC 2019, Apple announced a new library of icons that came included with that year's new operating system versions. To browse them, there's a dedicated Mac app called SF Symbols. You can be sure your symbol code won't crash due to typos or symbol availability issues. This is because all symbols are tested via a CI (on the latest iOS & tvOS versions and also some earlier OS versions). Lookups in the SF Symbols app (e. g. about available layersets, available localizations & the look... -
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eslint-plugin-jsx-a11y
Static AST checker for a11y rules on JSX elements
Static AST checker for accessibility rules on JSX elements. This plugin does a static evaluation of the JSX to spot accessibility issues in React apps. Because it only catches errors in static code, use it in combination with axe-core/react to test the accessibility of the rendered DOM. Consider these tools just as one step of a larger a11y testing process and always test your apps with assistive technology. If you installed ESLint globally (using the -g flag in npm, or the global prefix... -
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asap
A modern cmake starter project for C++ with a complete build lifecycle
A modern cmake starter project for C++ with a complete build lifecycle, testing, dependency management, etc. Portable across Linux, OS X and Windows. Have you ever found yourself spending countless hours trying to figure out how to start a professional C++ project with unit tests, a robust dev workflow, change logs, code coverage, linting, formatting...? The C++ ecosystem is getting better but is still very far away from other ecosystems such as JavaScript, or even Rust. It's certainly easy... -
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node-pg-migrate
Node.js database migration management for Postgresql
Node.js database migration management built exclusively for postgres. (But can also be used for other DBs conforming to SQL standard - e.g. CockroachDB.) Started by Theo Ephraim, now maintained by Salsita Software. Installing this module adds a runnable file into your node_modules/.bin directory. If installed globally (with the -g option), you can run node-pg-migrate and if not, you can run ./node_modules/.bin/node-pg-migrate. Add "migrate": "node-pg-migrate" to scripts section of package.json... -
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Wretch
A tiny wrapper built around fetch with an intuitive syntax
A tiny (~ 3Kb g-zipped) wrapper built around fetch with an intuitive syntax. Wretch is compatible with modern browsers out of the box. For older environments without fetch support, you should get a polyfill. Converts a javascript object to query parameters, then appends this query string to the current url. String values are used as the query string verbatim. Only compatible with browsers that support AbortControllers. Otherwise, you could use a (partial) polyfill. Associates a custom... -
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webpack-dashboard
A CLI dashboard for webpack dev server
A CLI dashboard for your webpack dev server. You can alternatively globally install the dashboard (e.g. npm install -g webpack-dashboard) for use with any project and everything should work the same. When choosing a custom port, you need to find one that is not already in use. You should not choose one that is being used by webpack-dev-server / devServer or any other process. Instead, pick one that is only for webpack-dashboard and pair that up in the plugin configuration and CLI port flag... -
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whisper-timestamped
Multilingual Automatic Speech Recognition with word-level timestamps
Multilingual Automatic Speech Recognition with word-level timestamps and confidence. Whisper is a set of multi-lingual, robust speech recognition models trained by OpenAI that achieve state-of-the-art results in many languages. Whisper models were trained to predict approximate timestamps on speech segments (most of the time with 1-second accuracy), but they cannot originally predict word timestamps. This repository proposes an implementation to predict word timestamps and provide a more... -
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Static Web Server
A cross-platform, high-performance and asynchronous web server
Static Web Server (or SWS abbreviated) is a tiny and fast production-ready web server suitable to serve static web files or assets. It is focused on lightness and easy-to-use principles while keeping high performance and safety powered by The Rust Programming Language. Written on top of Hyper and Tokio runtime, it provides concurrent and asynchronous networking abilities and the latest HTTP/1 - HTTP/2 implementations. Cross-platform and available for Linux, macOS, Windows, FreeBSD, NetBSD,... -
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Loggie
A lightweight, cloud-native data transfer agent and aggregator
... to collect logs, and send them to a Kafka topic without using client compression, with the Kafka topic partition configured as 3. With sufficient resources for the Agent specification, modify the number of files collected, the concurrency of the sending client (configure Filebeat worker and Loggie parallelism), and observe their respective CPU, memory, and pod network card transmission rates. -
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KWOK
Kubernetes WithOut Kubelet - Simulates thousands of Nodes and Clusters
KWOK is a toolkit that enables setting up a cluster of thousands of Nodes in seconds. Under the scene, all Nodes are simulated to behave like real ones, so the overall approach employs a pretty low resource footprint that you can easily play around with on your laptop.