Search Results for "vpn source code" - Page 50
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Showing 21387 open source projects for "vpn source code"
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Hammerspoon
MacOS desktop automation with Lua
This is a tool for powerful automation of OS X. At its core, Hammerspoon is just a bridge between the operating system and a Lua scripting engine. What gives Hammerspoon its power is a set of extensions that expose specific pieces of system functionality, to the user. You can write Lua code that interacts with OS X APIs for applications, windows, mouse pointers, filesystem objects, audio devices, batteries, screens, low-level keyboard/mouse events, clipboards, location services, wifi, and... -
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SIA
AI framework to autonomously improve the performance of any AI system
SIA is a self-improving AI framework designed to improve the performance of models or agents on benchmark tasks. It uses an iterative loop where a meta-agent creates or updates a task-specific target agent, while a feedback agent studies results and proposes improvements. The framework can refine both the harness around the task and the agent implementation itself. It is aimed at research and experimentation across tasks such as machine learning benchmarks, legal classification, code... -
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Impeccable
The design language that makes your AI harness better at design
Impeccable is a design skill system that helps AI coding tools produce better frontend interfaces by giving them a richer design vocabulary. It provides one comprehensive skill, multiple commands, and curated reference files covering typography, color, motion, spacing, interaction, responsive design, and UX writing. The project is built to counter common AI-generated design habits such as generic SaaS layouts, overused fonts, nested cards, weak hierarchy, and predictable gradients. It can be... -
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Ollama Copilot
Proxy that allows you to use ollama as a copilot like Github copilot
Ollama Copilot is a proxy-based tool that transforms locally hosted language models into a GitHub Copilot-style coding assistant for popular development environments. It acts as an intermediary server that exposes Ollama or other model providers through a Copilot-compatible interface, allowing developers to use local or self-hosted models for inline code completion. The project supports multiple providers such as Ollama, DeepSeek, and Mistral, enabling flexibility between local and remote... -
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gist(1)
Potentially the best command line gister
gist(1) is a web-based code and text sharing platform created to allow developers to quickly store, share, and collaborate on snippets of code or notes. It integrates closely with Git, enabling version control, revisions, and forking, which makes it suitable for both temporary sharing and long-term storage of reusable code fragments. Users can create public or private gists, depending on whether they want to share their content openly or keep it accessible only via a link. The platform... -
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mini SWE-agent
The 100 line AI agent that solves GitHub issues
mini SWE-agent is a lightweight, minimalist AI-powered software engineering agent designed to autonomously solve GitHub issues and assist developers directly from the command line using large language models. Unlike more complex frameworks, it emphasizes simplicity and efficiency, consisting of roughly 100 lines of code while still achieving strong performance on benchmarks such as SWE-bench Verified, where it demonstrates competitive problem-solving capabilities. The agent operates by... -
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Numbast
Build an automated pipeline that converts CUDA APIs into Numba
Numbast is an automated toolchain that bridges CUDA C++ and Python by generating Numba-compatible bindings directly from CUDA header files. Its primary goal is to eliminate the manual effort required to expose CUDA libraries to Python, enabling developers to use GPU-accelerated functionality in Python environments more easily. The system parses CUDA C++ declarations and converts them into Python bindings that can be used within Numba, allowing seamless integration with Python-based GPU... -
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Monty
A minimal, secure Python interpreter written in Rust for use by AI
Monty is an experimental, security-focused Python interpreter implemented in Rust and intended for running AI-generated Python safely under strict constraints. The project’s core goal is to enable code execution in environments where untrusted or model-produced code must be tightly sandboxed to reduce risk. Rather than offering a full “general-purpose Python runtime with everything enabled,” Monty is designed to be minimal and controlled, making it easier to reason about what code can do and... -
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Gitmal
A static page generator for repos
Gitmal is a static page generator that turns the contents of a Git repository into a clean, navigable HTML website, making it easier to share or showcase code outside of traditional Git hosting platforms. It reads repository metadata including files, commits, branches, and markdown, and produces a fully static set of pages with syntax-highlighted code, commit history, branch lists, and rendered documentation, so viewers can explore projects as if browsing a lightweight curated site. Designed... -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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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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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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ML for Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ML-For-Beginners is a structured, project-driven curriculum that teaches foundational machine learning concepts with approachable math and lots of code. Organized as a multi-week course, it mixes short lectures with labs in notebooks so learners practice regression, classification, clustering, and recommendation techniques on real datasets. Each lesson aims to connect the algorithm to a relatable scenario, reinforcing intuition before diving into parameters, metrics, and trade-offs. The... -
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Materialize
Materialize, a web framework based on Material Design
Materialize, a CSS Framework based on Material Design. Using VanillaJS and as less dependencies as possible to keep it fast and simple. We use TypeScript since it builds upon JavaScript and enhances the type- and code safety. You don't have to learn or integrate any new or crappy stuff. The goal here is to stick to the roots. Just copy and paste from the documentation and you are good to go. Most of the Features work event without JavaScript. Components should be useable by mobile devices... -
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penrose
A library for writing an X11 tiling window manager
Penrose is a modular library for configuring your own X11 window manager in Rust. This means that, unlike most other tiling window managers, Penrose is not a binary that you install on your system. Instead, you use it like a normal dependency in your own crate for writing your own window manager. Don't worry, the top-level API is well documented and a lot of things will work out of the box, and if you fancy digging deeper you'll find lots of opportunities to customize things to your liking.... -
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AWS IoT Jobs library
Client library for using AWS IoT Jobs service on embedded devices
...This library provides a convenience API to compose and recognize the MQTT topic strings used by the Jobs service. The library is written in C compliant with ISO C90 and MISRA C:2012, and is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8, and checks against deviations from mandatory rules in the MISRA coding standard. Deviations from the MISRA C:2012 guidelines are documented under MISRA Deviations. This library has also undergone both static code analysis from Coverity. -
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Scala.js
Scala.js, the Scala to JavaScript compiler
Strong typing guarantees your code is free of silly mistakes; no more mixing up strings or numbers, forgetting what keys an object has, or worrying about typos in your method names. Scala.js takes care of all this tedious book-keeping for you, letting you focus on the actual, more interesting problem your application is trying to solve. Scala.js optimizes your Scala code into highly efficient JavaScript. Incremental compilation guarantees speedy (1-2s) turn-around times when your code... -
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OpenReview
An open-source, self-hosted AI code review bot powered by Vercel
OpenReview is an open-source, self-hosted AI-powered code review system designed to automate and enhance the pull request review process using advanced language models. Built by Vercel Labs, it integrates directly with GitHub workflows, allowing developers to trigger intelligent code reviews by simply mentioning a bot in a pull request. The system operates in a sandboxed environment with access to the repository, enabling it to run linters, tests, and formatting tools as part of its review process. ... -
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ty
An extremely fast Python type checker and language server
ty is an extremely fast Python type checker and language server built in Rust, designed to provide highly responsive and accurate static analysis for modern Python development workflows. It is positioned as a next-generation alternative to tools such as mypy and Pyright, offering significantly faster performance through incremental analysis and optimized execution. The tool is designed from the ground up to power editor integrations, enabling real-time feedback as developers write code with... -
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Nexent
Zero-code platform for building AI agents from natural language input
Nexent is an open source platform designed to enable users to create intelligent agents using natural language instead of traditional programming or visual orchestration tools. It focuses on a zero-code approach, allowing users to define workflows and agent behavior purely through language prompts, significantly lowering the barrier to entry for AI development. -
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Microsandbox
Secure local-first microVM sandbox for running untrusted code fast
Microsandbox is an open source platform designed to securely execute untrusted code in isolated environments using lightweight virtualization techniques. It focuses on combining strong security guarantees with fast startup times by leveraging hardware-level microVM isolation instead of relying solely on traditional containers or full virtual machines. It aims to solve the common tradeoffs between speed, isolation, and control that developers encounter when running untrusted workloads. ... -
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OpenUI
The Open Standard for Generative UI
OpenUI is an open-source framework focused on enabling AI-driven generation and manipulation of user interfaces through natural language and programmatic inputs. The project aims to bridge the gap between design and development by allowing users to describe UI components and layouts in plain language, which are then translated into structured code or interactive components. -
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MLE-bench
AI multi-agent framework for automating data-driven R&D workflows
RD-Agent is an open source AI framework designed to automate research and development workflows in data-driven domains. It uses large language models and multiple collaborating agents to simulate the typical cycle of research, experimentation, and improvement that human data scientists follow. It separates the process into two core phases: a research stage that proposes hypotheses and ideas, and a development stage that implements and evaluates them through code execution and experiments. ... -
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Learn PyTorch for Deep Learning
Materials for the Learn PyTorch for Deep Learning
Learn PyTorch for Deep Learning is an open-source educational repository that provides the full learning materials for the “Learn PyTorch for Deep Learning: Zero to Mastery” course created by Daniel Bourke. The project is designed to teach beginners how to build deep learning models using PyTorch through a hands-on, code-first learning approach. Instead of focusing heavily on theory alone, the repository encourages learners to experiment with code and develop practical machine learning skills through guided examples and exercises. ... -
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AgentScript
Build AI agents that think in code
AgentScript is a TypeScript SDK for building reliable AI agents that express their plans as code, enabling stop/start workflows, tool-level state management, and enhanced observability. -
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GraphQL Lighthouse
A framework for serving GraphQL from Laravel
A framework for serving GraphQL from Laravel. Use the GraphQL Schema Definition Language to describe your data and add functionality through server-side directives. Build a GraphQL server on top of an existing Laravel application. Maximize code reuse and work with concepts you already know. Lighthouse leverages your existing models and creates optimized database queries out of the box. Define your schema without any boilerplate by using the GraphQL Schema Definition Language. In a GraphQL...