Search Results for "vpn source code" - Page 55

Showing 16460 open source projects for "vpn source code"

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  • 1
    Truth

    Truth

    Fluent assertions for Java and Android

    Truth is a library for performing assertions in tests. Truth makes your test assertions and failure messages more readable. Similar to AssertJ, it natively supports many JDK and Guava types, and it is extensible to others. Truth is owned and maintained by the Guava team. It is used in the majority of the tests in Google’s own codebase.
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  • 2
    go-orbit-db

    go-orbit-db

    Go version of P2P Database on IPFS

    orbit-db is a distributed peer-to-peer database on IPFS. This project intends to provide a fully compatible port of the JavaScript version in Go. The majority of this code was vastly derived from JavaScript's orbit-db project.
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  • 3
    Awesome KMM

    Awesome KMM

    An awesome list that curates the best KMM libraries, tools and more

    Kotlin Multiplatform Mobile (KMM) is an SDK designed to simplify creating cross-platform mobile applications. With the help of KMM, you can share common code between iOS and Android apps and write platform-specific code only where it’s necessary. For example, to implement a native UI or when working with platform-specific APIs.
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  • 4

    Testify

    Thou Shalt Write Tests in Go

    Testify is a Go (golang) toolkit with common assertions and mocks for testing your code. It features a specific set of packages, namely: assert package, which allows for better, more readable test code in Go; require package, which is similar to the assert package but instead of returning a boolean result, terminates the current test; mock package, which allows for easy writing of mock objects; and the suit package, which provides functionality similar to those of more common object oriented...
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  • 5
    Claude Blog

    Claude Blog

    Claude Code blog skill suite

    Claude Blog is a Claude Code blog skill suite for planning, writing, optimizing, and auditing long-form content. It is built as a full-lifecycle blog engine with 30 sub-skills, 5 agents, 12 content templates, on-demand references, Python scripts, and automated tests. The workflow is designed to produce production-ready content rather than one-shot AI drafts. It uses a five-gate delivery contract covering capability, format, visual quality, content review, and asset integrity. Commands...
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  • 6
    abtop

    abtop

    Like htop, but for AI coding agents. Monitor Claude Code & Codex CLI

    abtop is a terminal monitoring tool for AI coding agents, inspired by system monitors like htop and btop. It gives users a real-time view of active Claude Code, Codex CLI, and OpenCode sessions from local process and file state. The dashboard helps developers track token usage, context window percentage, rate limits, child processes, open ports, and multiple active profiles. It is read-only, so it does not require API keys or authentication and does not control the agents it observes. abtop...
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  • 7
    html-video

    html-video

    Programmatic video for coding agents — HTML to video on your laptop

    html-video is part of the nexu-io agent-native design ecosystem for creating motion graphics and video from web technologies. It is connected to a workflow where agents write HTML, CSS, and animation code that can be rendered into deterministic video output. The project is useful for creators and developers who want programmable video generation instead of editing everything manually in a timeline. It fits naturally with local AI coding agents, since the visual output is represented as code...
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  • 8
    AI Engineer Coach

    AI Engineer Coach

    Better agentic engineering

    AI Engineering Coach is a Microsoft VS Code extension for analyzing AI coding assistant usage across local session logs. It is designed to help developers improve how they work with tools such as VS Code, Claude, Codex, OpenCode, GitHub Copilot for Xcode, and Copilot CLI. The extension reads local logs and turns them into dashboards, practice scores, trends, anti-pattern detection, and actionable feedback. It focuses on agentic engineering habits such as prompt quality, context management,...
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  • 9
    How to Train Your GPT

    How to Train Your GPT

    Build a modern LLM from scratch. Every line commented

    How to Train Your GPT is an interactive textbook that teaches users how to build, train, and run a modern language model from scratch. It is written for learners with minimal machine-learning background, using simple explanations, commented code, and practical examples. The project covers the same broad family of architecture behind systems such as GPT-style models, LLaMA-style models, Claude-style systems, and Mistral-style models. It includes chapters and topic explainers on tokenizers,...
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  • 10
    Ellama

    Ellama

    Ellama is a tool for interacting with large language models from Emacs

    Ellama is an Emacs integration that brings large language model capabilities directly into the Emacs editor environment, focusing on extensibility and deep workflow integration. It allows users to interact with local or remote models through a unified interface embedded within their editing sessions. The tool is designed to align with Emacs’ philosophy of customization, enabling users to define prompts, commands, and behaviors tailored to their workflows. It supports conversational...
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  • 11
    HLSL++

    HLSL++

    Math library using HLSL syntax with multiplatform SIMD support

    HLSL++ is a header-only C++ math library designed to replicate the syntax and functionality of the HLSL shading language, making it easier for developers to write CPU-side code that mirrors GPU shader logic. It provides vector, matrix, and math operations with a syntax identical or very similar to HLSL, allowing seamless transition between shader code and application code. The library is optimized for performance and supports SIMD instructions across multiple architectures, including SSE,...
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  • 12
    quickjs-emscripten

    quickjs-emscripten

    Safely execute untrusted Javascript in your Javascript

    quickjs-emscripten is a JavaScript library that compiles the QuickJS engine into WebAssembly using Emscripten, enabling developers to run JavaScript code inside a sandboxed environment within browsers or server-side JavaScript runtimes. It provides a secure and isolated execution context, making it particularly useful for running untrusted or user-generated code safely. The library abstracts the complexity of loading and initializing the WebAssembly module, offering convenient APIs to create...
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  • 13
    Rhai

    Rhai

    An embedded scripting language for Rust

    Rhai is a lightweight, embedded scripting language and evaluation engine designed specifically for integration into Rust applications, offering a safe and flexible way to add dynamic behavior without sacrificing performance or security. It features a syntax that blends familiarity from JavaScript and Rust, making it approachable for developers while maintaining expressive power through dynamic typing and simple constructs. Rhai is optimized for embedding, allowing developers to expose native...
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  • 14
    wazero

    wazero

    The zero dependency WebAssembly runtime for Go developers

    wazero is a zero-dependency WebAssembly runtime written in Go that enables developers to execute WebAssembly modules directly within Go applications without relying on external toolchains or CGO. It fully implements the WebAssembly core specification and supports both interpreter and compiler execution modes, allowing developers to choose between portability and performance. One of its defining characteristics is its pure Go implementation, which simplifies cross-compilation and deployment...
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  • 15
    wasm-bindgen

    wasm-bindgen

    Facilitating high-level interactions between Wasm modules and Js

    wasm-bindgen is a foundational Rust tool that enables seamless interoperability between Rust and JavaScript by generating the necessary bindings and glue code for WebAssembly modules. It allows developers to write performance-critical code in Rust, compile it to WebAssembly, and then expose functions, structs, and APIs directly to JavaScript in a natural and idiomatic way. The tool automates the process of bridging differences between Rust’s type system and JavaScript’s dynamic environment,...
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  • 16
    Companion notebooks for Deep Learning

    Companion notebooks for Deep Learning

    Jupyter notebooks for the code samples of the book

    Companion notebooks for Deep Learning is a collection of Jupyter notebooks that accompany François Chollet’s deep learning curriculum, providing hands-on implementations of key concepts using practical examples. The project covers a wide range of topics, including neural networks, computer vision, natural language processing, and sequence modeling. Each notebook is structured to combine theoretical explanations with executable code, allowing users to experiment and learn interactively. The...
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  • 17
    Java and Spring Tutorials

    Java and Spring Tutorials

    Getting Started with Spring Boot 3

    Java and Spring Tutorials is a large-scale educational codebase that provides practical examples and tutorials covering a wide range of software development topics, primarily focused on Java and related ecosystems. It serves as a companion resource for Baeldung articles, offering real-world code implementations that demonstrate concepts such as Spring Boot, persistence frameworks, REST APIs, security, testing, and more. The repository is organized into multiple modules, each targeting...
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  • 18
    Claude Subconscious

    Claude Subconscious

    Give Claude Code a subconscious

    Claude Subconscious is an experimental plugin that enhances AI coding workflows by introducing a persistent “memory layer” for Claude Code through integration with Letta’s agent framework. It operates as a background agent that continuously observes user interactions, reads project files, and processes session transcripts to build long-term contextual memory. Unlike standard AI interactions that reset between sessions, this system accumulates knowledge over time, allowing it to recall user...
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  • 19
    Numba CUDA Target

    Numba CUDA Target

    The CUDA target for Numba

    Numba CUDA Target is NVIDIA’s maintained CUDA backend for the Numba JIT compiler, enabling developers to write GPU-accelerated code directly in Python. It allows users to define CUDA kernels using Python syntax, which are then compiled into efficient GPU code at runtime using LLVM-based toolchains. This approach significantly lowers the barrier to entry for GPU programming by eliminating the need to write CUDA C++ while still delivering high performance. The project supports the SIMT...
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  • 20
    Kodezi Chronos

    Kodezi Chronos

    Kodezi Chronos is a debugging-first language model

    Kodezi Chronos is a research project focused on developing a specialized language model designed specifically for debugging software and understanding large code repositories. Unlike general-purpose language models that focus primarily on code generation, Chronos is built to diagnose and repair bugs by analyzing complex relationships across files within a codebase. The project introduces architectural techniques such as Adaptive Graph-Guided Retrieval, which allows the system to navigate...
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  • 21
    SERA CLI

    SERA CLI

    A tool to use the Ai2 Open Coding Agents Soft-Verified Agents

    SERA CLI is a command-line tool created by AllenAI to enable developers to interact with the SERA (Soft-Verified Efficient Repository Agents) model family using Claude Code as the execution front end. It provides a convenient interface for deploying, testing, and using SERA models without needing to write scaffold code from scratch, acting as both a proxy and utility wrapper to simplify workflows that involve large agent models. Through sera-cli, users can connect to local or cloud-hosted...
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  • 22
    claude-reflect

    claude-reflect

    A self-learning system for Claude Code that captures corrections

    claude-reflect is a self-learning enhancement system for Claude Code that captures user corrections, positive feedback, and preferences during interactive coding sessions and turns them into persistent knowledge that improves future responses. It watches what you correct Claude about — such as preferring a particular model, style, or workflow — and automatically queues those learnings, then lets you review and sync them back into configuration files like CLAUDE.md and agent definitions so...
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  • 23
    NextJS Ollama LLM UI

    NextJS Ollama LLM UI

    Fully-featured web interface for Ollama LLMs

    NextJS Ollama LLM UI is a web-based frontend interface built with Next.js to make interacting with Ollama-hosted large language models easy and fast. Its goal is to remove the complexity of setting up and managing UI components for local or offline LLM usage by providing a straightforward chat experience with support for responsive layouts, light and dark themes, and local chat history storage in the browser. The interface stores conversations in local storage, so no separate backend...
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  • 24
    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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  • 25
    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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