Search Results for "linux mint community" - Page 43

Showing 3815 open source projects for "linux mint community"

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  • 1
    PHP Coding Standards Fixer

    PHP Coding Standards Fixer

    A tool to automatically fix PHP Coding Standards issues

    The PHP Coding Standards Fixer (PHP CS Fixer) tool fixes your code to follow standards, whether you want to follow PHP coding standards as defined in the PSR-1, PSR-2, etc., or other community driven ones like the Symfony one. You can also define your (team’s) style through configuration. It can modernize your code (like converting the pow function to the operator on PHP 5.6) and (micro) optimize it. If you are already using a linter to identify coding standards problems in your code, you...
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  • 3
    nopCommerce

    nopCommerce

    The most popular open-source eCommerce shopping cart solution

    ...The product is being developed and supported by the professional team since 2008. nopCommerce has been downloaded more than 3,000,000 times. The active developer community has more than 250,000 members. nopCommerce runs on ASP.NET Core 5 with an MS SQL 2012 (or higher) backend database. nopCommerce is cross-platform, and you can run it on Windows, Linux, or Mac. nopCommerce supports Docker and MySQL out of the box, so you can easily run nopCommerce on a Linux machine. nopCommerce supports PostgreSQL database. nopCommerce fully supports web farms. ...
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  • 4
    Pearl Linux MATE 12

    Pearl Linux MATE 12

    The perfect desktop for all with Compiz as default Window Manager

    Pearl MATE Desktop 12 is a easy to customize 64 bit OS based on a mix of both Ubuntu and the Linux Mint latest LTR (24.04). We have included both the fully loaded version and also a minimal ISO. Natural sounding Text to Speech with Pied Piper
    Downloads: 13 This Week
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    MongoDB Atlas runs apps anywhere

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  • 5
    Daily Interview

    Daily Interview

    Datawhale members have compiled a book covering machine learning

    daily-interview is an open-source educational repository designed to help software engineers prepare for technical interviews through daily practice questions and curated learning materials. The project collects a wide range of interview questions related to algorithms, data structures, system design, and core computer science topics commonly tested by technology companies. The repository is organized in a structured format that encourages developers to practice solving problems regularly...
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  • 6
    Build with Claude

    Build with Claude

    A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins

    Build with Claude is an open-source plugin marketplace and discovery hub for the Claude Code ecosystem that centralizes hundreds of plugins, agents, commands, hooks, skills, and marketplaces to enhance developer workflows with autonomous AI functionality. It serves as a one-stop index where users can browse curated agent modules for tasks like blockchain development, code analysis, DevOps, documentation generation, and much more — all designed to be installed directly into Claude Code using...
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  • 7
    Dash Data Agent

    Dash Data Agent

    Self-learning data agent that grounds its answers in layers of content

    Dash is a self-learning data agent built by the Agno AI community that generates grounded answers to English queries over structured data by synthesizing SQL and reasoning based on six layers of context, improving automatically with each run. It sidesteps common limitations of simple text-to-SQL agents by incorporating multiple context layers — including schema structure, human annotations, known query patterns, institutional knowledge from docs, machine-discovered error patterns, and live...
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  • 8
    Auto-Commenter

    Auto-Commenter

    A Claude skill that automatically posts personalized comments

    Auto-Commenter is a Claude-oriented automation project built to help users write and post comments that sound natural and context-aware in targeted online communities. It centers on learning a user’s writing style from their real comment history, then applying that style to generate responses that feel consistent with the user rather than generic template text. The workflow emphasizes deeper post analysis so the system can respond to what is actually being discussed, instead of replying with...
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  • 9
    History LLMs

    History LLMs

    Information hub for our project training the largest possible LLMs

    History LLMs serves as the central information hub for a research project focused on training large language models exclusively on historical texts up to specified cutoff dates, essentially creating time-locked AI that speaks from within a particular era’s worldview. The History LLMs aim to be trained on massive curated datasets of time-stamped documents so that the resulting models can offer responses grounded only in the knowledge available before their cutoff, such as 1913, thereby...
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  • 10
    ChineseBQB

    ChineseBQB

    Chinese sticker pack, more joy/museum of emoticon

    ChineseBQB is an openly shared repository of Chinese-style stickers and memes, essentially a “meme pack / sticker museum” — curated and maintained to collect, categorize, and make accessible a large collection of expressive GIFs and images often used in chats. The repository organizes stickers contributed by many people, and uses a Node.js build script to automatically generate an index of all images, so that users can browse the entire gallery online. The goal is cultural and social: making...
    Downloads: 0 This Week
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  • 11
    Elkeid

    Elkeid

    Open source solution that can meet the requirements of workloads

    Elkeid is an open-source platform for security and intrusion-detection that aims to support a wide variety of deployment contexts — from bare-metal hosts to containers, Kubernetes clusters, and even serverless environments. It was born out of ByteDance’s internal security best practices, offering for community users a subset of its enterprise-grade capabilities. Elkeid combines kernel-level data collection, user-space agents, and runtime instrumentation (RASP) to detect malicious behavior,...
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  • 12
    Anthony's VS Code Settings

    Anthony's VS Code Settings

    My VS Code settings and extensions

    Anthony's VS Code Settings contains the personal VS Code settings, extensions list and snippets of Anthony Fu— essentially his curated development environment configuration. It provides the settings.json, extensions.json, and other snippet files under .vscode/. The idea is for others to inspect, adopt, clone, or adapt his settings for a more consistent VS Code experience. The settings cover font, icons, product icons, theme, file-nesting config (via the other project), linting integration,...
    Downloads: 0 This Week
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  • 13
    CVPR 2025

    CVPR 2025

    Collection of CVPR 2025 papers and open source projects

    CVPR 2025 curates accepted CVPR 2025 papers and pairs them with their corresponding code implementations when available, giving researchers and practitioners a fast way to move from reading to reproducing. It organizes entries by topic areas such as detection, segmentation, generative models, 3D vision, multi-modal learning, and efficiency, so you can navigate the year’s output efficiently. Each paper entry typically includes a title, author list, and links to the paper PDF and official or...
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  • 14
    onedark.vim

    onedark.vim

    A dark Vim/Neovim color scheme

    onedark.vim is a dark colour scheme for Vim/Neovim created by Josh Dick, inspired by the Atom editor’s “One Dark” theme. It aims to offer a modern, balanced palette with good contrast and readability across many programming languages and file types. The theme supports both plain Vim and Neovim, and works well with statusline plugins like vim-airline or lightline by providing compatible theme files. Users appreciate that the colour choices remain consistently comfortable over long coding...
    Downloads: 0 This Week
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  • 15
    type-challenges

    type-challenges

    Collection of TypeScript type challenges with online judge

    type-challenges is a massive set of TypeScript type-level puzzles that turn the compiler into a playground for metaprogramming. Each challenge is a miniature kata where you implement types that transform other types—parsing strings, inferring tuples, mapping unions—without writing any runtime code. Problems are arranged from warm-ups to brain-twisters, letting developers build intuition about distributive conditional types, inference in extends, variance, and other corner cases of the type...
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  • 16
    Open X-Embodiment

    Open X-Embodiment

    Unified open dataset enabling cross-embodiment learning for robotics

    Open X-Embodiment is a large-scale collaborative initiative led by Google DeepMind to unify robotic learning datasets into a consistent and standardized format, simplifying access and usage across the robotics research community. Its primary goal is to make all available open-source robotic data interoperable by representing them using the RLDS (Reinforcement Learning Dataset Structure) episode format. This enables seamless integration for training, evaluation, and model development across...
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  • 17
    MCP Shrimp Task Manager

    MCP Shrimp Task Manager

    Shrimp Task Manager is a task tool built for AI Agents

    Shrimp Task Manager is an MCP server that converts natural-language requests into structured development tasks with dependencies, status, and style/format rules—built for agents that reason step-by-step. It emphasizes chain-of-thought and reflection loops, allowing an assistant to plan, refine, and re-prioritize work like a human project assistant. The server exposes typed tools so clients can create tasks, link prerequisites, record progress, and enforce writing or coding standards for...
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  • 18
    Purple Llama

    Purple Llama

    Set of tools to assess and improve LLM security

    Purple Llama is an umbrella safety initiative that aggregates tools, benchmarks, and mitigations to help developers build responsibly with open generative AI. Its scope spans input and output safeguards, cybersecurity-focused evaluations, and reference shields that can be inserted at inference time. The project evolves as a hub for safety research artifacts like Llama Guard and Code Shield, along with dataset specs and how-to guides for integrating checks into applications. CyberSecEval, one...
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  • 19
    GSY Flutter Demo

    GSY Flutter Demo

    Collection of independent Flutter example components

    This repository is a comprehensive showcase of Flutter capabilities through a large set of demos, patterns, and best practices. It includes examples for UI layouts, animations, navigation, networking, state management, and more. The project is often used as a learning playground for developers to see practical implementations of both simple widgets and complex app structures. It demonstrates integrations with APIs, database persistence, and plugin usage, making it a real-world reference app....
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  • 20
    OpenFGA
    A high-performance and flexible authorization/permission engine built for developers and inspired by Google Zanzibar. OpenFGA is designed to make it easy for developers to model their application permissions and add and integrate fine-grained authorization into their applications. It allows in-memory data storage for quick development, as well as pluggable database modules. It currently supports PostgreSQL 14, MySQL 8, and SQLite (currently in beta). It offers an HTTP API and a gRPC API. It...
    Downloads: 0 This Week
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  • 21
    Chromatone

    Chromatone

    Chromatone is a digital garden of visual music theory

    Cards and short overviews on the physics and physiology of vision and hearing and their intersection at visual music research, exploration, practice, and self-expression. Useful tools to have in the pocket like a pack of interactive cards to learn and use in everyday music practice. These are open source web experiments with different aspects of sound and color. Chromatone is an open source research and design project to explore, develop and implement the scientific way of visual music...
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  • 22
    SimpleITK

    SimpleITK

    A layer built on top of the Insight Toolkit (ITK)

    SimpleITK is an image analysis toolkit with a large number of components supporting general filtering operations, image segmentation and registration. It is built on top of the Insight Segmentation and Registration Toolkit ITK with the intent of providing a simplified interface to ITK. SimpleITK itself is written in C++ but is available for a large number of programming languages. Wrapping of the C++ code is accomplished through SWIG, in principle, any language wrapped by SWIG should be...
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  • 23
    Kubeflow pipelines

    Kubeflow pipelines

    Machine Learning Pipelines for Kubeflow

    Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable. A pipeline is a description of an ML workflow, including all of the components in the workflow and how they combine in the form of a graph. The pipeline includes the definition of the inputs (parameters) required to run the pipeline and the inputs and outputs of each component. A pipeline component is a self-contained set of user code, packaged as...
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  • 24
    CRI-O

    CRI-O

    Open Container Initiative-based implementation of Kubernetes Container

    CRI-O follows the Kubernetes release cycles with respect to its minor versions (1. x.y). Patch releases (1.x.z) for Kubernetes are not in sync with those from CRI-O, because they are scheduled for each month, whereas CRI-O provides them only if necessary. If a Kubernetes release goes End of Life, then the corresponding CRI-O version can be considered in the same way. This means that CRI-O also follows the Kubernetes n-2 release version skew policy when it comes to feature graduation,...
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  • 25
    LossFunctions.jl

    LossFunctions.jl

    Julia package of loss functions for machine learning

    This package represents a community effort to centralize the definition and implementation of loss functions in Julia. As such, it is a part of the JuliaML ecosystem. The sole purpose of this package is to provide an efficient and extensible implementation of various loss functions used throughout Machine Learning (ML). It is thus intended to serve as a special purpose back-end for other ML libraries that require losses to accomplish their tasks. To that end we provide a considerable amount...
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