Search Results for "mac framework" - Page 17
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Showing 10521 open source projects for "mac framework"
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LiteRT-LM
LiteRT-LM is Google's production-ready inference framework
LiteRT-LM is Google’s open-source inference framework for deploying large language models on edge devices. It is built for production-oriented local LLM execution across Android, iOS, desktop, web, embedded, and IoT environments. The framework focuses on performance, hardware acceleration, and efficient model serving close to the user instead of relying only on remote cloud inference. It supports CPU execution across major platforms and adds GPU or NPU acceleration where available. LiteRT-LM... -
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FuzzyAI Fuzzer
A powerful tool for automated LLM fuzzing
FuzzyAI is an open-source fuzzing framework designed to test the security and reliability of large language model applications. The tool automates the process of generating adversarial prompts and input variations to identify vulnerabilities such as jailbreaks, prompt injections, or unsafe model responses. It allows developers and security researchers to systematically evaluate the robustness of LLM-based systems by simulating a wide range of malicious or unexpected inputs. The framework can... -
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Hunyuan3D-1
A Unified Framework for Text-to-3D and Image-to-3D Generation
Hunyuan3D-1 is an earlier version in the same 3D generation line (the unified framework for text-to-3D and image-to-3D tasks) by Tencent Hunyuan. It provides a framework combining shape generation and texture synthesis, enabling users to create 3D assets from images or text conditions. While less advanced than version 2.1, it laid the foundations for the later PBR, higher resolution, and open-source enhancements. (Note: less detailed public documentation was found for Hunyuan3D-1 compared to... -
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Calamares
Distribution-independent installer framework
Calamares aims to be easy, usable, beautiful, pragmatic, inclusive and distribution-agnostic. Calamares is an installer framework. By design, it is very customizable, in order to satisfy a wide variety of needs and use cases. Calamares aims to be easy, usable & beautiful while remaining independent of any particular Linux distribution. The Guide linked above has documentation for end-users, the wiki is mostly for distro developers. The developer’s guide contains information on building... -
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DynamoRIO
Dynamic Instrumentation Tool Platform
DynamoRIO is a runtime code manipulation system that supports code transformations on any part of a program, while it executes. DynamoRIO exports an interface for building dynamic tools for a wide variety of uses: program analysis and understanding, profiling, instrumentation, optimization, translation, etc. Unlike many dynamic tool systems, DynamoRIO is not limited to insertion of callouts/trampolines and allows arbitrary modifications to application instructions via a powerful... -
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CrewAI
Framework for orchestrating role-playing, autonomous AI agents
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. The power of AI collaboration has too much to offer. CrewAI is designed to enable AI agents to assume roles, share goals, and operate in a cohesive unit - much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI... -
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ClawTeam
ClawTeam: Agent Swarm Intelligence (One Command → Full Automation)
ClawTeam is an advanced multi-agent orchestration framework that enables AI agents to form collaborative swarms capable of solving complex tasks autonomously. Instead of relying on a single agent, the system allows a leader agent to spawn and coordinate multiple specialized sub-agents, each responsible for different aspects of a problem. These agents communicate, share insights, and dynamically adapt their strategies based on real-time feedback, creating a form of collective intelligence.... -
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LangGraph.js
Framework to build resilient language agents as graphs
LangGraphJS is a JavaScript framework designed to build stateful AI applications and autonomous agents using graph-based execution models. Developed as part of the LangChain ecosystem, the framework allows developers to represent complex AI workflows as graphs where nodes represent tasks and edges define the flow of execution. This structure makes it easier to implement long-running agents, multi-step reasoning pipelines, and workflows that require persistent state. LangGraphJS supports... -
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MvvmCross
The .NET MVVM framework for cross-platform solutions
Build clean, pixel perfect, native UIs. Share behavior and business logic in a single codebase across supported platforms, using the Model-View-ViewModel (MVVM) design pattern. MvvmCross is a framework specifically developed for Xamarin and the mobile ecosystem. It supports Xamarin.iOS, Xamarin.Android, Xamarin.Mac, Xamarin.Forms, Universal Windows Platform (UWP) and Windows Presentation Framework (WPF). MvvmCross is a cross-platform MVVM framework. It enables developers to create apps using... -
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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AWS Connected Device Framework
Managing connected devices
Managing connected devices involves multiple phases of a device's lifecycle. The phases a typical connected device goes through are : manufacturing, onboarding, operations, support and analytics. In each of these phases, a unique set of capabilities are required. The AWS Connected Device Framework (CDF) encompasses a set of modular micro-services (referred to simply as modules) to cater to connected devices in each of their lifecycle phases. The framework is particularly well suited for... -
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DeerFlow
Deep Research framework, combining language models with tools
DeerFlow is an open-source, community-driven “deep research” framework / multi-agent orchestration platform developed by ByteDance. It aims to combine the reasoning power of large language models (LLMs) with automated tool-use — such as web search, web crawling, Python execution, and data processing — to enable complex, end-to-end research workflows. Instead of a monolithic AI assistant, DeerFlow defines multiple specialized agents (e.g. “planner,” “searcher,” “coder,” “report generator”)... -
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.NET Runtime
Cross-platform runtime for cloud, mobile, desktop, and IoT apps
.NET is a free, cross-platform, open source developer platform for building many different types of applications. With .NET, you can use multiple languages, editors, and libraries to build for web, mobile, desktop, games, and IoT. You can write .NET apps in C#, F#, or Visual Basic. C# is a simple, modern, object-oriented, and type-safe programming language. F# is a cross-platform, open-source, functional programming language for .NET. It also includes object-oriented and imperative... -
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Make It heavy
A Python framework that emulates Grok Heavy functionality
Make It heavy is a Python framework for producing deeper AI analysis through multi-agent orchestration. It is designed to emulate the style of Grok Heavy by splitting a user query into several specialized research angles. The system runs four agents in parallel so each one can explore the problem from a different perspective. It then combines their outputs into one unified answer through an intelligent synthesis step. The framework uses OpenRouter for model access and can also run in... -
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Melody
Minimalist websocket framework for Go
Melody is a minimalist WebSocket framework for Go that wraps the standard WebSocket workflow in a simple, developer-friendly API. It is designed to make real-time server features easier to build without requiring a large framework or complex setup. Developers can use it for chat systems, live notifications, dashboards, multiplayer coordination, collaborative tools, and other bidirectional communication features. Melody provides connection lifecycle hooks, message handlers, broadcasting,... -
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NFH Self-Improvement Loop
Minimal adversarial framework for AI agent self-modification
NFH Self-Improvement Loop is a conceptual framework and implementation designed to model continuous self-improvement cycles using AI systems. It focuses on creating feedback loops where outputs are evaluated, refined, and reintroduced into the system for further improvement. The project emphasizes iterative learning, allowing systems to evolve over time through repeated evaluation and adjustment. It can be applied to areas such as content generation, decision-making, and personal... -
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LLPhant
A comprehensive PHP Generative AI Framework
LLPhant is a PHP-based generative AI framework designed to bring large language model capabilities into modern PHP applications with a structure inspired by frameworks like LangChain. It provides developers with a set of abstractions for building AI-powered features such as chat systems, retrieval pipelines, and automated workflows while remaining simple enough to integrate into existing Symfony or Laravel projects. The framework focuses on usability by offering straightforward APIs for... -
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MoonZoon
Rust Fullstack Framework
MoonZoon is a full-stack Rust web framework that enables developers to build reactive web applications using a unified Rust codebase for both frontend and backend logic. It is built around a reactive programming model where UI updates are automatically triggered by changes in application state, reducing the need for manual DOM manipulation or complex state management patterns. The framework leverages WebAssembly for the frontend, allowing Rust code to run directly in the browser while... -
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TNT
A lightweight library for PyTorch training tools and utilities
TNT is a lightweight training framework developed by Meta that simplifies the process of building and managing machine learning training loops using PyTorch. The project focuses on providing a flexible yet structured environment for implementing training pipelines without the complexity of large deep learning frameworks. It introduces modular abstractions that allow developers to organize training logic into reusable components such as trainers, evaluators, and callbacks. This design helps... -
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Nutgram
The Telegram bot framework that doesn't drive you nuts
This framework takes advantage of the latest PHP 8.2 features and tries to make the speed, scalability and flexibility of use its strength, it will allow you to quickly make simple bots, but at the same time, it provides more advanced features to handle even the most complicated flows. The Telegram bot framework doesn't drive you nuts. -
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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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Promises
Promises is a modern framework that provides synchronization
Promises is a modern framework that provides a synchronization construct for Objective-C and Swift to facilitate writing asynchronous code. Typically, async operations take a completion handler in a form of a block, which is called to provide either a result or an error. To perform more than one async operation, you have to nest the second one inside the completion block of the first one, and also handle an error gracefully. Often such nesting becomes painful to follow or modify. The... -
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Responder
A familiar HTTP Service Framework for Python
Responder is a web service framework, written for human beings. This gets you a ASGI app, with a production static files server (WhiteNoise) pre-installed, jinja2 templating (without additional imports), and a production web server based on uvloop, serving up requests with gzip compression automatically. A pleasant API, with a single import statement. Class-based views without inheritance. ASGI framework, the future of Python web services. WebSocket support! The ability to mount any ASGI /... -
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Micronaut
Micronaut Application Framework
Micronaut is a modern, JVM-based, full-stack Java framework designed for building modular, easily testable JVM applications with support for Java, Kotlin, and the Groovy language. Micronaut is developed by the creators of the Grails framework and takes inspiration from lessons learned over the years building real-world applications from monoliths to microservices using Spring, Spring Boot, and Grails. Micronaut aims to provide all the tools necessary to build JVM applications. With Micronaut... -
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AstrBot
Agentic IM Chatbot infrastructure
AstrBot is an AI-driven chatbot framework designed to help developers build intelligent conversational agents that can be deployed across multiple messaging environments. The project focuses on modular architecture so users can extend the bot with plugins, custom skills, and integrations without modifying the core engine. It is built to support modern large language model workflows, enabling natural language understanding, automated responses, and task execution within chat contexts. AstrBot... -
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Argo Events
Event-driven Automation Framework for Kubernetes
Argo Events is an event-driven workflow automation framework for Kubernetes. It allows you to trigger 10 different actions (such as the creation of Kubernetes objects, invoking workflows or serverless workloads) on over 20 different events (such as webhook, S3 drop, cron schedule, messaging queues - e.g. Kafka, GCP PubSub, SNS, SQS).
