Search Results for "mac framework" - Page 70
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Showing 10521 open source projects for "mac framework"
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VIPER
AI-powered red team platform for adversary simulation toolkit
Viper is a comprehensive red teaming and adversary simulation platform designed to support cybersecurity professionals in conducting advanced security assessments. It integrates a wide range of tools and capabilities required for penetration testing, post-exploitation, and attack simulation workflows into a unified environment. Viper emphasizes ease of use through a graphical interface, allowing users to manage complex operations without relying solely on command-line tools. It includes a... -
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RL with PyTorch
Clean, Robust, and Unified PyTorch implementation
RL with PyTorch is a research-oriented repository that provides implementations of deep reinforcement learning algorithms using the PyTorch framework. The project focuses on helping developers and researchers understand reinforcement learning methods by providing clean and reproducible implementations of well-known algorithms. It includes code for popular deep reinforcement learning techniques such as Deep Q-Networks, policy gradient methods, actor-critic architectures, and other modern RL... -
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thorough-pytorch
PyTorch Getting Started Tutorial, read online
thorough-pytorch is an educational project designed to teach deep learning using the PyTorch framework through a structured learning series. The repository provides tutorials and practical exercises that guide learners from fundamental PyTorch concepts to more advanced deep learning techniques. It emphasizes a learning approach that combines theoretical explanations with hands-on coding exercises so that students can build and experiment with neural networks directly. The project encourages... -
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Specification
Base class with tests for adding specifications to a DDD model
Specification is a .NET library that implements the Specification pattern to encapsulate query logic into reusable, composable objects. Its primary goal is to pull filtering, sorting, and projection logic out of repositories and services, reducing duplication and improving maintainability. The library works especially well with Entity Framework Core, enabling developers to centralize query definitions instead of scattering LINQ expressions throughout the codebase. By defining specifications... -
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claude-code-best-practice
Practice made claude perfect
claude-code-best-practice is a structured knowledge repository that documents advanced workflows, architectural patterns, and optimization strategies for developers using Claude Code in agentic development environments. Rather than being a traditional software library, the project functions as a living playbook that demonstrates how to compose skills, agents, memory files, and rules into maintainable AI-assisted coding systems. The repository emphasizes modularity and progressive disclosure,... -
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Project Hestia
A grid-based, modular dashboard built entirely from HTML, CSS, and JS
Project Hestia is a powerful open-source backend framework and runtime that aims to simplify the development of scalable, distributed applications by providing a modular set of core services such as user authentication, permission enforcement, event streaming, and service orchestration. Built with modern application needs in mind, Hestia-Core abstracts common infrastructure concerns so developers can focus on business logic rather than boilerplate integration of third-party services. It... -
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Peinture
A general-purpose AI image generation framework that supports HF
Peinture is a sleek, dark-themed web application that brings AI-powered image generation to artists, designers, and casual creators through a modern interface built with React, TypeScript, and Tailwind CSS. Instead of tying users to a single service, Peinture integrates multiple backend providers, including Hugging Face, Gitee AI, Model Scope, and others, so you can switch between models or extend support to custom endpoints — giving you flexibility over where and how your images are... -
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Flow-Like
Strongly Typed Enterprise Scale Workflows
Flow-Like is a lightweight framework for building flow-based, reactive user interfaces that lets developers structure applications around declarative data flows and event pipelines instead of imperative state management. The core idea is that UI components react to changes in upstream flows, making it easier to reason about how data moves through the system and how user interactions propagate changes throughout the interface. This approach contrasts with traditional two-way binding or manual... -
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PentestAgent
AI agent framework for black-box security testing
PentestAgent is an open-source autonomous security testing platform designed to help organizations identify vulnerabilities and assess security posture by simulating real-world attack scenarios without manual intervention. It brings a modular and automated approach to penetration testing by orchestrating a suite of tools and scripts that can emulate common exploitation techniques, reconnaissance workflows, and post-exploitation activities across targets. Users configure rules, policies, and... -
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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VideoRAG
"VideoRAG: Chat with Your Videos
VideoRAG is a retrieval-augmented generation (RAG) framework tailored for video content that enables AI systems to answer questions, summarize, and reason over long videos by combining visual embeddings with contextual search. The system works by first breaking video into clips, extracting visual and audio-textual features, and indexing them into embeddings, then using an LLM with a retriever to pull relevant segments on demand. When a user query is received, VideoRAG locates semantically... -
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TurboDiffusion
100–200× Acceleration for Video Diffusion Models
TurboDiffusion is an advanced open-source framework designed to dramatically accelerate video diffusion model generation, aiming for performance improvements on the order of 100–200× compared with traditional implementations while retaining high output quality. It achieves this by combining a suite of algorithmic and engineering optimizations, including attention acceleration techniques, efficient step distillation methods, and quantization strategies that reduce computational overhead. The... -
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Manim Skills Repository
Agent skills for Manim to create 3Blue1Brown style animations
Manim Skills Repository provides a well-crafted set of “agent skills” and reusable components that make it easier to produce animations in Manim similar to the iconic style seen in 3Blue1Brown videos. It supplies templates, best-practice patterns, and example scenes that help users quickly get started with both Manim Community Edition and the older ManimGL framework, allowing for expressive mathematical and conceptual animations without reinventing the wheel. The project aims to wrap common... -
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Front-End Design Checklist
The Design Checklist for Creative Web Designers
Front-End-Design-Checklist bridges the gap between design and implementation by capturing the essential details that make handoffs smooth and outcomes consistent. It encourages designers and developers to align on typography scales, color tokens, spacing systems, and grid behavior before coding begins. The resource includes checks for responsive breakpoints, interaction states, accessibility considerations, and asset preparation, reducing rework later in the build. It promotes shared... -
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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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AWorld
Build, evaluate and train General Multi-Agent Assistance with ease
AWorld (Agent World) is an agent runtime/framework. It supports building, evaluating, and training self-improving intelligent agents and multi-agent systems (MAS). It is designed to provide infrastructure for agent orchestration, iterative learning, and environment interaction at scale. Scalable training across environments and distributed setups. Support for multi-agent collaboration/orchestration (MAS). The system is intended to help agents evolve via experience. It provides features to... -
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Meta Agents Research Environments (ARE)
Meta Agents Research Environments is a comprehensive platform
Meta Agents Research Environments (ARE) is a simulation and benchmarking platform. It is designed to evaluate AI agents in dynamic, evolving, multi-step tasks. Unlike static benchmarks, ARE supports environments where agents must adapt to changes over time and reason over sequences of actions. It interacts with applications and faces uncertainty. The included Gaia2 benchmark offers 800 scenarios across multiple “universes”. It can test reasoning, memory, tool use, and adaptability.... -
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Sidekiq
Simple, efficient background processing for Ruby
Sidekiq is a background job processing framework for Ruby that leverages multithreading to handle thousands of jobs concurrently with minimal memory overhead. It integrates seamlessly with Rails and other Ruby applications, letting developers offload tasks such as email delivery, file processing, and API calls so the main web process stays responsive. Sidekiq uses Redis as its backend, storing job queues, scheduling information, and retries, with support for delayed jobs and exponential... -
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Plug
Compose web applications with functions
Plug is a specification and set of utilities for building composable modules in Elixir web applications. It defines a standard connection interface, allowing developers to create “plugs” that act as middleware for handling requests and responses. Examples include parsing parameters, managing sessions, logging, or authentication, all of which can be plugged into a pipeline. Plug serves as the foundation for the Phoenix framework, which builds on it to deliver a full-featured web stack. The... -
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ClojureDart
Clojure dialect for Flutter and Dart
ClojureDart is a modern dialect of Clojure that compiles to Dart, enabling developers to create native mobile, desktop, web, and CLI applications using the Flutter and Dart ecosystem with Clojure syntax while offering production-ready performance. You should get the sample running either in Chrome or as a desktop app. Compiles Clojure code into Dart to produce mobile, desktop, and web apps. Production-ready toolchain, with stable compiler used in real-world apps. -
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Better Chatbot
Just a Better Chatbot. Powered by MCP Client & Workflows
Better‑chatbot is an AI chatbot framework powered by MCP protocols and workflows, allowing developers to deploy and integrate AI-powered chat systems with ease. Integrates all major LLMs: OpenAI, Anthropic, Google, xAI, Ollama, and more. MCP protocol, web search, JS/Python code execution, data visualization. Custom agents, visual workflows, artifact generation. Custom agents, visual workflows, artifact generation. Realtime voice chat with full MCP tool integration. -
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MemU
MemU is an open-source memory framework for AI companions
MemU is an agentic memory layer for LLM applications, specifically designed for AI companions. Transform your memory into an intelligent file system that automatically organizes, connects, and evolves with your memories. Simple, fast, and reliable memory infrastructure for AI applications. Powerful tools and dedicated support to scale your AI applications with confidence. Full proprietary features, commercial usage rights, and white-labeling options for your enterprise needs. SSO/RBAC... -
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Bacalhau
Community-driven, simple, yet powerful framework
Bacalhau is a decentralized compute platform for running jobs on data stored across distributed networks, like IPFS or Filecoin, without moving the data to centralized cloud environments. It allows developers to run containerized workloads close to where the data lives, reducing latency, cost, and privacy risks. Bacalhau supports various runtime environments and is designed to make decentralized data processing as accessible as traditional cloud computing. It’s especially useful for... -
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Holochain
The current, performant & industrial strength version of Holochain
Holochain is a post-blockchain framework for building agent-centric, distributed applications. Instead of using global consensus, Holochain enables each agent (user) to maintain their own local state while validating actions with a shared set of rules. This allows for scalable, secure, and resilient apps where data is owned and controlled by users. Ideal for social apps, cooperatives, and data sovereignty platforms, Holochain focuses on enabling collaboration without central servers or... -
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SFML.Net
Official binding of SFML for .Net languages
SFML.Net is the official .NET binding for the Simple and Fast Multimedia Library (SFML), providing C# developers with access to a powerful multimedia and game development framework. It wraps SFML’s C++ API into a user-friendly .NET interface, making it easy to build 2D games, multimedia apps, and simulations with graphics, sound, windowing, and input support. SFML.Net keeps the design idiomatic to C#, maintaining SFML's performance and portability while providing seamless integration with... -
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Generative AI Examples
Generative AI Examples is a collection of GenAI examples
Efficiently integrate secure, performant, and cost-effective Generative AI workflows into business value. Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness.
