Search Results for "void based linux" - Page 18

25201 projects for "void based linux" with 1 filter applied:

  • Retool your internal operations Icon
    Retool your internal operations

    Generate secure, production-grade apps that connect to your business data. Not just prototypes, but tools your team can actually deploy.

    Build internal software that meets enterprise security standards without waiting on engineering resources. Retool connects to your databases, APIs, and data sources while maintaining the permissions and controls you need. Create custom dashboards, admin tools, and workflows from natural language prompts—all deployed in your cloud with security baked in. Stop duct-taping operations together, start building in Retool.
    Build an app in Retool
  • Atera all-in-one platform IT management software with AI agents Icon
    Atera all-in-one platform IT management software with AI agents

    Ideal for internal IT departments or managed service providers (MSPs)

    Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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  • 1
    springdoc-openapi

    springdoc-openapi

    Library for OpenAPI 3 with spring-boot

    An extended support for springdoc-openapi v1 project is now available for organizations that need support beyond 2023. The springdoc-openapi Java library helps automating the generation of API documentation using Spring Boot projects. springdoc-openapi works by examining an application at runtime to infer API semantics based on Spring configurations, class structure and various annotations. The library automatically generates documentation in JSON/YAML and HTML formatted pages. The generated...
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  • 2
    Obsidian Skills

    Obsidian Skills

    Agent skills for Obsidian

    Obsidian-Skills is a repository of agent skills tailored for use with Obsidian and any Claude-compatible agent that follows the standard Agent Skills specification, enabling AI assistants to better understand and interact with Obsidian content. These skills are markdown-driven specifications that teach Claude Code (or similar agents) how to perform context-aware tasks within Obsidian’s unique environment, such as interpreting different file types and workflows, automating workflows tied to...
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  • 3
    Tailsnitch

    Tailsnitch

    A security auditor for Tailscale configurations

    tailsnitch is a security auditing tool for Tailscale networks (tailnets) that scans configurations and device setups to detect risky or overly permissive settings, helping administrators maintain a secure mesh network. Written in Go and designed to be run either as a CLI or integrated into automated pipelines, tailsnitch performs dozens of checks against common access control policies, authentication key practices, network exposure issues, and device security settings. It outputs structured...
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  • 4
    lean-side-bussiness

    lean-side-bussiness

    Guide to building and running lean side businesses

    A pragmatic guide to building and running lean side businesses, oriented toward solo developers and small teams. It collects experience-based notes, checklists, and lightweight frameworks for validating ideas quickly before investing significant time or money. The emphasis is on shipping fast, narrowing scope, and focusing on channels that predictably convert rather than chasing vanity metrics. It also covers everyday operations—pricing, payment flow, support, and simple analytics—so a side...
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  • Grafana: The open and composable observability platform Icon
    Grafana: The open and composable observability platform

    Faster answers, predictable costs, and no lock-in built by the team helping to make observability accessible to anyone.

    Grafana is the open source analytics & monitoring solution for every database.
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  • 5
    Deep Learning Is Nothing

    Deep Learning Is Nothing

    Deep learning concepts in an approachable style

    Deep-Learning-Is-Nothing presents deep learning concepts in an approachable, from-scratch style that demystifies the stack behind modern models. It typically begins with linear algebra, calculus, and optimization refreshers before moving to perceptrons, multilayer networks, and gradient-based training. Implementations favor small, readable examples—often NumPy first—to show how forward and backward passes work without depending solely on high-level frameworks. Once the fundamentals are...
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  • 6
    Driver.js

    Driver.js

    A lightweight, dependency-free JavaScript library

    Driver.js is a lightweight, framework-agnostic JavaScript library for building guided tours, feature spotlights, and product walkthroughs. It programmatically highlights elements on a page, dims the background, and attaches callouts so users learn new flows without leaving the UI. The API lets you define steps, order, and behavior, while handling positioning, scrolling, and viewport collisions gracefully. It strives to be unobtrusive: tours can be triggered contextually, resumed, or...
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  • 7
    AI Hedge Fund

    AI Hedge Fund

    An AI Hedge Fund Team

    This repository demonstrates how to build a simplified, automated hedge fund strategy powered by AI/ML. It integrates financial data collection, preprocessing, feature engineering, and predictive modeling to simulate decision-making in trading. The code shows workflows for pulling stock or market data, applying machine learning algorithms to forecast trends, and generating buy/sell/hold signals based on the predictions. Its structure is educational: intended more as a proof-of-concept than a...
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  • 8
    GeoStats.jl

    GeoStats.jl

    An extensible framework for geospatial data science

    GeoStats.jl is a Julia framework for geospatial data science and geostatistical modeling. It’s fully implemented in Julia and designed to provide an extensible, high-performance stack that handles spatial domains, interpolation, simulation, learning, and visualization. The package is modular: it breaks out geometry, spatial domains, transforms, variograms, covariance models, and modeling into subpackages (e.g., GeoStatsBase, GeoStatsModels, GeoStatsTransforms). Users can represent...
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  • 9
    AndroidEnv

    AndroidEnv

    RL research on Android devices

    android_env is a reinforcement learning (RL) environment developed by Google DeepMind that enables agents to interact with Android applications directly as a learning environment. It provides a standardized API for training agents to perform tasks on Android apps, supporting tasks ranging from games to productivity apps, making it suitable for research in real-world RL settings.
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  • Lightspeed golf course management software Icon
    Lightspeed golf course management software

    Lightspeed Golf is all-in-one golf course management software to help courses simplify operations, drive revenue and deliver amazing golf experiences.

    From tee sheet management, point of sale and payment processing to marketing, automation, reporting and more—Lightspeed is built for the pro shop, restaurant, back office, beverage cart and beyond.
    Learn More
  • 10
    Simple Robot

    Simple Robot

    A Bot-style event scheduling framework, asynchronous

    Simple Robot (v4) is based onKotlin Co-process ofKotlin multiplatform Bot styleHigh-performance asynchronous event scheduling framework (hereinafter referred to as simbot), Asynchronous and efficient, Java friendly. simbot provides a unified asynchronous API and easy-to-use style design that can assist you in writing more quickly and efficiently but style event scheduling application. It is mainly used to connect various types of Bot application platforms/frameworks and provide part of the...
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  • 11
    OpenZeppelin Contracts

    OpenZeppelin Contracts

    OpenZeppelin Contracts is a library for secure smart contracts

    A library for secure smart contract development. Build on a solid foundation of community-vetted code. OpenZeppelin Contracts uses semantic versioning to communicate backward compatibility of its API and storage layout. To keep your system secure, you should always use the installed code as-is, and neither copy-paste it from online sources nor modify it yourself. The library is designed so that only the contracts and functions you use are deployed, so you don't need to worry about it...
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  • 12
    glbinding

    glbinding

    A C++ binding for the OpenGL API, generated using the gl.xml specifica

    A C++ binding for the OpenGL API, generated using the gl.xml specification. glbinding leverages C++11 features like enum classes, lambdas, and variadic templates, instead of relying on macros; all OpenGL symbols are real functions and variables. It provides type-safe parameters, per-feature API headers, lazy function resolution, multi-context and multi-thread support, global and local function callbacks, meta information about the generated OpenGL binding and the OpenGL runtime, as well as...
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  • 13
    Python Progressbar

    Python Progressbar

    Progressbar 2 - A progress bar for Python 2 and Python 3

    A text progress bar is typically used to display the progress of a long-running operation, providing a visual cue that processing is underway. The progressbar is based on the old Python progressbar package that was published on the now-defunct Google Code. Since that project was completely abandoned by its developer and the developer did not respond to my email, I decided to fork the package. This package is still backward compatible with the original progressbar package so you can safely...
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  • 14
    Catlab.jl

    Catlab.jl

    A framework for applied category theory in the Julia language

    Catlab.jl is a framework for applied and computational category theory, written in the Julia language. Catlab provides a programming library and interactive interface for applications of category theory to scientific and engineering fields. It emphasizes monoidal categories due to their wide applicability but can support any categorical structure that is formalizable as a generalized algebraic theory. First and foremost, Catlab provides data structures, algorithms, and serialization for...
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  • 15
    Helidon

    Helidon

    Java libraries for writing microservices

    Helidon is a cloud-native, open‑source set of Java libraries for writing microservices that run on a fast web core powered by Netty. Helidon Níma is the first Java microservices framework based on virtual threads. Helidon is designed to be simple to use, with tooling and examples to get you going quickly. Since Helidon is simply a collection of Java libraries running on a fast Netty core, there is no extra overhead or bloat. Helidon supports MicroProfile and provides familiar APIs like...
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  • 16
    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...
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  • 17
    Mobly

    Mobly

    E2E test framework for tests with complex environment requirements

    Mobly is a Python-based test framework that specializes in supporting test cases that require multiple devices, complex environments, or custom hardware setups. P2P data transfer between two devices. Conference calls across three phones. Wearable device interacting with a phone. Internet-Of-Things devices interacting with each other. Testing RF characteristics of devices with special equipment. Testing LTE network by controlling phones, base stations, and eNBs. Mobly can support many...
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  • 18
    OpenAI.fm

    OpenAI.fm

    Code for openai.fm, a demo for the OpenAI Speech API

    OpenAI.fm is an official interactive demo application built to showcase the OpenAI Speech API and its advanced text-to-speech capabilities, providing developers and creators with a hands-on web interface to convert text into high-quality, customizable audio using state-of-the-art TTS models. Developed using Next.js and the OpenAI Speech API, this demo illustrates how the latest neural voice models can produce natural, expressive speech with adjustable styles and voices, highlighting features...
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  • 19
    Claude Canvas

    Claude Canvas

    Give Claude Code an external monitor

    Claude Canvas is a terminal-focused UI toolkit that extends Claude Code by giving it a dedicated visual interface within the terminal, allowing interactive panes for apps like email, calendar, flight bookings, and other structured interfaces directly alongside the coding agent session. Rather than limiting interactions to text prompts and responses, Claude-Canvas uses tools like tmux to spawn multiple split panes so that you can see persistent interfaces for tasks that benefit from visual...
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  • 20
    Claude Run

    Claude Run

    A beautiful web UI for browsing Claude Code conversation history

    Claude Run is a user-friendly web interface for browsing, searching, and managing Claude Code conversation history in a visually appealing way, making it easier to revisit past interactions, track project progress, and resume long-running coding sessions. Running locally via a single command (npx claude-run), it launches a web UI that displays all stored Claude Code sessions – including conversation threads, tool calls, and timestamps – in a clean chat layout, helping developers quickly find...
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  • 21
    C.A.F.E.

    C.A.F.E.

    The "Third Way" for Home Assistant Automations

    CAFE (Complex Automation Flow Editor) for Home Assistant is an innovative automation authoring tool that provides a visual flow editor inside Home Assistant, offering a “third way” between manual YAML and external flow tools by transpiling visual flows directly into native Home Assistant automation YAML. It’s designed to give users the visual clarity of tools like Node-RED without the overhead of a separate execution engine, storing the logic as standard YAML that runs in the core automation...
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  • 22
    DFlash

    DFlash

    Block Diffusion for Ultra-Fast Speculative Decoding

    DFlash is an open-source framework for ultra-fast speculative decoding using a lightweight block diffusion model to draft text in parallel with a target large language model, dramatically improving inference speed without sacrificing generation quality. It acts as a “drafter” that proposes likely continuations which the main model then verifies, enabling significant throughput gains compared to traditional autoregressive decoding methods that generate token by token. This approach has been...
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  • 23
    Obsidian Visual Skills Pack

    Obsidian Visual Skills Pack

    Generate Canvas, Excalidraw, and Mermaid diagrams from text

    LLM-TLDR is a Python-based tool designed to dramatically reduce the amount of code a large language model needs to read by extracting the essential structure and context from a codebase and presenting only the most relevant parts to the model. Traditional approaches often dump entire files into a model’s context, which quickly exceeds token limits; LLM-TLDR instead indexes project structure, traces dependencies, and summarizes code in a way that preserves semantic relevance while shrinking...
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  • 24
    HeartMuLa

    HeartMuLa

    A Family of Open Sourced Music Foundation Models

    HeartMuLa is the open-source library and reference implementation for the HeartMuLa family of music foundation models, designed to support both music generation and music-related understanding tasks in a cohesive stack. At the center is HeartMuLa, a music language model that generates music conditioned on inputs like lyrics and tags, with multilingual support that broadens the range of lyric-driven use cases. The project also includes HeartCodec, a music codec optimized for high...
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  • 25
    Anthropic's Original Performance

    Anthropic's Original Performance

    Anthropic's original performance take-home, now open for you to try

    Anthropic's Original Performance repository contains the publicly released version of a performance challenge originally used by Anthropic as part of their technical interview process, offering developers the opportunity to optimize and benchmark low-level code against simulated models. The project sets up a baseline performance problem where participants work to reduce simulated “clock cycles” required to run a given workload, effectively challenging them to engineer faster code under...
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