Search Results for "high" - Page 35
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Showing 1967 open source projects for "high"
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NatML
High performance, cross-platform machine learning for Unity Engine
NatML allows developers to integrate machine learning into their Unity applications in under five lines of code with zero infrastructure. NatML completely removes the need to have any experience with machine learning in order to take advantage of the features it can provide. NatML takes advantage of hardware machine learning accelerators, like CoreML on iOS and macOS, NNAPI on Android, and DirectML on Windows. As a result, it is multiple times faster than Unity's own Barracuda engine. NatML... -
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HyperCLIPS
CLIPS compatible application which allows a high performance execution
HyperCLIPS was designed for high performance, especially with the CLIPS program which have a great deal of numeric calculation or memory allocation, along with keeping almost full compatibility with the original version of CLIPS. You can use HyperCLIPS to run CLIPS programs with no modification. The original version of CLIPS Rule Based Programming Language is available from here. -
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eslint-config-alloy
Progressive ESLint config for your React/Vue/TypeScript projects
...The AlloyTeam ESLint config is not only a progressive ESLint config for your React/Vue/TypeScript projects but also the best reference for configuring your personalized ESLint rules. Let Prettier handle style-related rules. Inherit ESLint's philosophy and help everyone build their own rules. High degree of automation: advanced rules management, test as a document, as a website. Keep up with the times, follow up the latest rules as soon as possible. It is recommended to use npm init vue@3 to create a project with Vue, TypeScript and ESLint integrated. Our team initially used Airbnb rules, but because it was too strict, some rules still needed to be personalized, which led to more and more changes in the future and finally decided to maintain a new set. ... -
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Louvre
High performance C++ library for building Wayland compositors
Louvre is a high-performance C++ library designed for building Wayland compositors with a strong emphasis on ease of development. It provides a default way for managing protocols, enabling you to have a basic but functional compositor from day one and progressively explore and customize its functionality to precisely match your requirements. -
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This is a basic, low-level library with pretensions to implementing features above and beyond (but not necessarily better than!) those implemented within the Standard C++ Library and the Boost Library. In particular data-flow based parallelism and a FIX-to Exchange-Protocol message translator that is blindingly fast! The source code has moved to GitLab: https://gitlab.com/jmmcg/libjmmcg
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redis-operator
Redis Operator creates/configures/manages high availability redis
Redis Operator creates/configures/manages redis-failovers atop Kubernetes. Kubernetes version: 1.21 or higher Redis version: 6 or higher. Redis operator is being tested against Kubernetes 1.25 1.26 1.27 and redis 6 All dependencies have been vendored, so there's no need to any additional downloads. -
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chimp
Tooling that helps you do quality, faster
Your Apollo GraphQL development companion for doing quality, faster. Chimp helps you write high-quality code from the get-go. No more putting tests and quality as an after-thought. Quality first, speed for free. Boilerplate is time-consuming, error-prone and boring! Chimp reduces that through its various generators and smart defaults. Modularity leads to maintainable and testable code, and this is a key feature of all Chimp's domain-driven and data-driven generators. -
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Sobelow
Security-focused static analysis for the Phoenix Framework
...For project maintainers, it can be used to prevent the introduction of a number of common vulnerabilities. Potential vulnerabilities are flagged in different colors according to confidence in their insecurity. High confidence is red, medium confidence is yellow, and low confidence is green. A finding is typically marked "low confidence" if it looks like a function could be used insecurely, but it cannot reliably be determined if the function accepts user-supplied input. That is to say, if a finding is marked green, it may be critically insecure, but it will require greater manual validation. ... -
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EhViewer
EhViewer overhauled with Material Design 3, Jetpack Compose and more
EhViewer fork is dedicated to lightweight and high-performance. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Gerapy
Distributed Crawler Management Framework Based on Scrapy
Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js. Someone who has worked as a crawler with Python may use Scrapy. Scrapy is indeed a very powerful crawler framework. It has high crawling efficiency and good scalability. It is basically a necessary tool for developing crawlers using Python. If you use Scrapy as a crawler, then of course we can use our own host to crawl when crawling, but when the crawl is very large, we can’t run the crawler on our own machine, a good one. The method is to deploy Scrapy to a remote server for execution. ... -
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The Art of Command Line
Master the command line, in one page
The Art of Command Line is a single, highly curated page of tips that distills years of Unix command-line experience into practical, memorable guidance. It emphasizes fluency: small habits and commands that compound into faster debugging, data wrangling, and system navigation. The content spans basic shell usage, text processing with tools like grep/sed/awk, networking and performance inspection, and advice for working safely with root and destructive commands. Many entries highlight... -
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fastMRI
A large open dataset + tools to speed up MRI scans using ML
fastMRI is a large-scale collaborative research project by Facebook AI Research (FAIR) and NYU Langone Health that explores how deep learning can accelerate magnetic resonance imaging (MRI) acquisition without compromising image quality. By enabling reconstruction of high-fidelity MR images from significantly fewer measurements, fastMRI aims to make MRI scanning faster, cheaper, and more accessible in clinical settings. The repository provides an open-source PyTorch framework with data loaders, subsampling utilities, reconstruction models, and evaluation metrics, supporting both research reproducibility and practical experimentation. ... -
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iJEPA
Official codebase for I-JEPA
i-JEPA (Image Joint-Embedding Predictive Architecture) is a self-supervised learning framework that predicts missing high-level representations rather than reconstructing pixels. A context encoder sees visible regions of an image and predicts target embeddings for masked regions produced by a slowly updated target encoder, focusing learning on semantics instead of texture. This objective sidesteps generative pixel losses and avoids heavy negative sampling, producing features that transfer strongly with linear probes and minimal fine-tuning. ... -
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PHP XLSX Writer
Lightweight XLSX Excel Spreadsheet Writer in PHP
A fast and memory-efficient PHP library for writing XLSX (Excel) files. It supports large datasets and is ideal for exporting tabular data without using high-level libraries like PHPExcel, providing an efficient alternative for lightweight data export. -
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Godis
A Golang implemented Redis Server and Cluster
Godis is a golang implementation of Redis Server, which intents to provide an example of writing a high concurrent middleware using golang. MULTI Commands Transaction is Atomic and Isolated. If any errors are encountered during execution, godis will rollback the executed commands. Server-side Cluster which is transparent to client. You can connect to any node in the cluster to access all data in the cluster. MSET, MSETNX, DEL, Rename, RenameNX command is supported and atomically executed in cluster mode, allowing over multi-node. ... -
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KotlinDL
High-level Deep Learning Framework written in Kotlin
KotlinDL is a high-level Deep Learning API written in Kotlin and inspired by Keras. Under the hood, it uses TensorFlow Java API and ONNX Runtime API for Java. KotlinDL offers simple APIs for training deep learning models from scratch, importing existing Keras and ONNX models for inference, and leveraging transfer learning for tailoring existing pre-trained models to your tasks. -
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kotlin-power-assert
Kotlin compiler plugin to enable diagrammed function calls
Kotlin Compiler Plugin which high-jacks Kotlin assert function calls and transforms them similar to Groovy's Power Assert feature. This plugin uses the IR backend for the Kotlin compiler and supports all platforms: JVM, JS, and Native! -
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Laravel-Swoole
High performance HTTP server based on Swoole
High-performance HTTP server based on Swoole. Speed up your Laravel or Lumen applications. -
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Nano JSON
Lightweight, facility, high performance golang based game server
Nano is an easy-to-use, fast, lightweight game server networking library for Go. It provides a core network architecture and a series of tools and libraries that can help developers eliminate boring duplicate work for common underlying logic. The goal of nano is to improve development efficiency by eliminating the need to spend time on repetitious network-related programming. Nano was designed for server-side applications like real-time games, social games, mobile games, etc of all sizes. In... -
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Pyrogram
Elegant, modern and asynchronous Telegram MTProto API framework
...Easy: Makes the Telegram API simple and intuitive, while still allowing advanced usages. Elegant: Low-level details are abstracted and re-presented in a more convenient way. Fast: Boosted up by TgCrypto, a high-performance cryptography library written in C. Type-hinted: Types and methods are all type-hinted, enabling excellent editor support. Async: Fully asynchronous (also usable synchronously if wanted, for convenience). Powerful: Full access to Telegram's API to execute any official client action and more. -
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Electron Vite React
Electron + Vite + React + Sass boilerplate
A modern boilerplate for building Electron apps with React and Vite, optimized for fast development and high performance. -
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Nunjucks
A rich and powerful templating language for JavaScript
...You've been looking for a more sophisticated templating engine for JavaScript. Here it is. Rich Powerful language with block inheritance, autoescaping, macros, asynchronous control, and more. Heavily inspired by jinja2. Fast & Lean High-performant. Small 8K gzipped runtime with precompiled templates in the browser. Crazy extensible with custom filters and extensions. Everywhere available in node and all modern web browsers, with thorough precompilation options. Nunjucks allows you to port all of your existing templates from a project to something that's easier to manage. ... -
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Lacinia
GraphQL implementation in pure Clojure
...It allows you to define schemas with EDN or GraphQL IDL, resolve queries efficiently, and supports GraphQL capabilities like subscriptions and schema introspection. High-performance parser for GraphQL queries, built on Antlr4. Efficient and asynchronous query execution. Full support for GraphQL types, interfaces, unions, enums, input objects, and custom scalars. Full support for GraphQL subscriptions. Full support of inline and named query fragments. Full support for GraphQL Schema Introspection. -
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PLP_Solvers
Library of solvers for work in Science, Engineering & Education
Portable library of solvers for work in Science, Engineering & Education. Library Contents: High Precision Computation, Numerical Calculus, Complex Analysis, Geometry, Linear Algebra, Special Functions, Differential Equations, Transformations, Optimization & Interpolation, Statistics, Physics ... (12,538 functions in v23.06 package) Knowledge of any programming language is not required. Only Windows port is available. -
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ClassyVision
An end-to-end PyTorch framework for image and video classification
...Unlike traditional computer vision libraries that focus solely on modular components, Classy Vision provides a complete and unified framework, featuring distributed training, reproducible experiments, and flexible configuration tools. It offers high performance and scalability—capable of training models like ResNet-50 on ImageNet in just minutes—while remaining accessible to both researchers and production engineers. The library integrates seamlessly with PyTorch Hub for easy access to pretrained models and supports elastic training using PyTorch Elastic, making distributed training robust to changes in cluster resources or hardware failures.
