Search Results for "open project" - Page 91
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Showing 24353 open source projects for "open project"
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Homebridge Docker
Homebridge Docker. HomeKit support for the impatient using Docker
Homebridge Docker is a containerized version of Homebridge that allows users to run a HomeKit-compatible automation server inside a Docker environment. It simplifies deployment by packaging Homebridge, Node.js, and required dependencies into a ready-to-run container that supports multiple architectures including x86 and ARM devices like Raspberry Pi. The project enables integration of non-HomeKit smart devices into Apple’s Home ecosystem through plugins and configuration tools. It includes... -
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Retro UI
A NeoBrutalism styled React + TailwindCSS UI library
Retro UI is a design-focused UI library that recreates classic retro computing aesthetics within modern web interfaces, offering developers a way to build nostalgic, vintage-style applications. It provides components styled to resemble old operating systems and early graphical user interfaces, including elements like pixelated buttons, window frames, and low-resolution typography. The project is aimed at developers and designers who want to create unique user experiences that stand out from... -
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Sandbox Agent
Run Coding Agents in Sandboxes
Sandbox Agent by Rivet is an experimental framework for running AI agents in controlled, isolated environments where they can safely execute code, interact with tools, and perform autonomous tasks without risking system integrity. It is designed to provide a secure sandbox that allows agents to test actions, manipulate files, and run commands while enforcing strict boundaries and monitoring capabilities. The project focuses on enabling more reliable and auditable agent behavior by separating... -
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AIGC-Interview-Book
AIGC algorithm engineer interview secrets
AIGC-Interview-Book is a large educational repository designed to help engineers prepare for technical interviews related to artificial intelligence and generative AI roles. The project compiles knowledge from industry practitioners and researchers into a structured reference covering the AI ecosystem. Topics included in the repository span large language models, generative AI systems, traditional deep learning methods, reinforcement learning, computer vision, natural language processing,... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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OpenVINO Notebooks
Jupyter notebook tutorials for OpenVINO
openvino_notebooks is a collection of interactive Jupyter notebooks designed to demonstrate how to build, optimize, and deploy artificial intelligence applications using the OpenVINO toolkit. The repository provides practical tutorials that guide developers through various AI workflows including computer vision, natural language processing, and generative AI tasks. Each notebook demonstrates how to run pre-trained models, optimize inference performance, and deploy models across hardware such... -
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uzu
A high-performance inference engine for AI models
uzu is a high-performance inference engine designed to run artificial intelligence models efficiently on Apple Silicon hardware. Written primarily in Rust and leveraging Apple’s Metal framework, the project focuses on maximizing performance when executing large language models and other AI workloads on devices such as Mac computers with M-series chips. The engine implements a hybrid architecture in which model layers can be executed either as custom GPU kernels or through Apple’s MPSGraph... -
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Antigravity Claude Proxy
Proxy that exposes Antigravity provided claude / gemini models
Antigravity Claude Proxy is a purpose-built proxy server that enables developers to interface with Claude models through a standardized RESTful API, allowing tools and workflows that expect generic HTTP APIs to operate on Anthropic’s Claude without native support. The project acts as a translation layer, receiving web requests in common formats (such as OpenAI-style endpoints) and forwarding them to Anthropic’s API in the required structure, while converting responses back into a familiar... -
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AI Data Science Team
An AI-powered data science team of agents
AI Data Science Team is a Python library and agent ecosystem designed to accelerate and automate common data science workflows by modeling them as specialized AI “agents” that can be orchestrated to perform tasks like data cleaning, transformation, analysis, visualization, and machine learning. It provides a modular agent framework where each agent focuses on a step in the typical data science pipeline — for example, loading data from CSV/Excel files, cleaning and wrangling messy datasets,... -
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Visual Blocks
Visual Blocks for ML is a Google visual programming framework
Visual Blocks is a node-based, in-browser environment for building AI and data-processing workflows with drag-and-drop components. It lets you connect sources, transforms, models, and visualizers into a live graph, so changes propagate instantly and results are observable without writing glue code. Under the hood it leans on web-friendly runtimes (e.g., WebGPU/WebGL/WebNN or TensorFlow.js backends) to execute pipelines locally, which is great for demos, teaching, and privacy-sensitive... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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LitterBox
A secure sandbox environment for malware developers and red teamers
LitterBox is a controlled malware-analysis and payload-testing sandbox aimed at red teams who need to validate evasions and behaviors before deployment. It provides an isolated environment to exercise payloads against modern detection stacks, verify signatures and heuristics, and observe runtime characteristics without leaking binaries to third-party vendors. The README frames typical use cases: testing evasion, validating detections, analyzing behavior, and keeping sensitive tooling... -
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LaTeX Examples
Examples for the usage of LaTeX
LaTeX-examples is a repository collecting a variety of example documents and snippets demonstrating LaTeX features, usage patterns, and common templates. It acts as a playground for learning LaTeX syntax, macros, formatting tricks, and document structuring practices. Files include sample articles, reports, book chapters, presentations (using Beamer), tables, mathematical typesetting examples (equations, aligned systems, integrals, matrices), custom macros, and styling. The project is useful... -
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OpenAuth
Universal, standards-based auth provider
OpenAuth is an authentication system aimed at modern serverless and edge runtimes, providing a cohesive way to add sign-in flows and session management to web apps. It supports common patterns such as OAuth with popular identity providers, email-based links or codes, and passkeys/passwordless options, while exposing a simple API that fits full-stack frameworks. The project is designed to be infrastructure-friendly, aligning with managed stores and serverless platforms so sessions, webhooks,... -
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Kube-Hetzner
Optimized and Maintenance-free Kubernetes on Hetzner Cloud
A highly optimized, easy-to-use, auto-upgradable, HA-default & Load-Balanced, Kubernetes cluster powered by k3s-on-MicroOS and deployed for peanuts on Hetzner Cloud. Hetzner Cloud is a good cloud provider that offers very affordable prices for cloud instances, with data center locations in both Europe and the US. This project aims to create a highly optimized Kubernetes installation that is easy to maintain, secure, and automatically upgrades both the nodes and Kubernetes. We aimed for... -
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Airtest
UI Automation Framework for Games and Apps
¿Airtest provides cross-platform APIs, including app installation, simulated input, assertion and so forth. Airtest uses image recognition technology to locate UI elements so that you can automate games and apps without injecting any code. Airtest cases can be easily run on large device farms, using the command line or python API. HTML reports with detailed info and screen recording allow you to quickly locate failure points. NetEase builds Airlab on top of the Airtest Project. AirtestIDE is... -
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Django Two-Factor Authentication
Complete Two-Factor Authentication for Django
Complete Two-Factor Authentication for Django. Built on top of the one-time password framework django-otp and Django's built-in authentication framework django.contrib.auth for providing the easiest integration into most Django projects. Inspired by the user experience of Google's Two-Step Authentication, allowing users to authenticate through call, text messages (SMS), by using a token generator app like Google Authenticator or a YubiKey hardware token generator (optional). If you run into... -
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The Futhark Programming Language
A data-parallel functional programming language
Futhark is a small programming language designed to be compiled into efficient parallel code. It is a statically typed, data-parallel, and purely functional array language in the ML family, and comes with a heavily optimizing ahead-of-time compiler that presently generates either GPU code via CUDA and OpenCL, or multi-threaded CPU code. Futhark is not designed for graphics programming, but can instead use the compute power of the GPU to accelerate data-parallel array computations. The... -
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Spacebar
Free selfhostable discord compatible communication platform
Spacebar is a free, open-source, self-hostable communication platform designed to be compatible with Discord-style clients and bots. It includes chat, voice, and video capabilities while giving server operators more control over infrastructure and configuration. The project emphasizes decentralization, customization, and avoiding a single point of failure. -
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AimiliVPN
aimili-vpngate is a proxy tool that allows Linux to use clean IPs
AimiliVPN is a Python-based VPNGate proxy gateway for Linux servers. It uses the official VPNGate open protocol to fetch and connect through public VPN nodes. The project is written with the Python standard library and does not require external runtime dependencies. It includes a responsive web management interface, concurrent speed testing, route selection modes, outbound proxy behavior, and real-time logs. Users can deploy it with a one-command installer on common Linux distributions such as Debian, Ubuntu, CentOS, and Alpine. ... -
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TypeGPU
A modular and open-ended toolkit for WebGPU
TypeGPU is a modular TypeScript toolkit for working with WebGPU in a more type-safe and developer-friendly way. It lets developers define GPU logic with advanced type inference while still targeting WebGPU and WGSL-based execution. The project is designed for graphics, compute shaders, GPU programming, and high-performance browser or React Native experiments. It can generate WGSL from TypeScript-style functions, helping developers keep GPU code closer to the rest of their application logic.... -
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promptmap2
A security scanner for custom LLM applications
...The repository emphasizes broad coverage, including test rules for prompt stealing, jailbreaks, harmful content generation, hate-related outputs, social bias, and distraction attacks. It also supports multiple providers such as OpenAI, Anthropic, Google, xAI, and open-source models through Ollama, making it flexible for both commercial and local deployments. -
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DocStrange
Extract and convert data from any document, images, pdfs, word doc
DocStrange is an open-source document understanding and extraction library designed to convert complex files into structured, LLM-ready outputs such as Markdown, JSON, CSV, and HTML. Developed by Nanonets, the project combines OCR, layout detection, table understanding, and structured extraction into one end-to-end pipeline, which reduces the need to stitch together multiple separate services. -
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PyTorch-Tutorial-2nd
CV, NLP, LLM project applications, and advanced engineering deployment
PyTorch-Tutorial-2nd is an open-source educational repository that provides structured tutorials for learning deep learning with the PyTorch framework. The project serves as a practical companion to a second edition of a PyTorch learning guide and is designed to help learners understand neural network concepts through hands-on coding examples. The repository covers a wide range of topics including tensor operations, neural network construction, model training workflows, and optimization strategies. ... -
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LLM-Agent-Paper-List
The paper list of the 86-page SCIS cover paper
LLM-Agent-Paper-List is an open-source research repository that aggregates and organizes academic publications related to large language model–based agents. The project functions as a curated companion resource to a comprehensive survey paper examining the rise and potential of LLM-driven agent systems. Within the repository, research papers are categorized according to key aspects of agent architecture, including components such as reasoning systems, perception mechanisms, and action modules. ... -
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Spacemesh
Go Implementation of the Spacemesh protocol full node
Go-Spacemesh is the official Go implementation of the Spacemesh protocol, a novel blockchain based on Proof of Space-Time (PoST) designed for fair mining and energy efficiency. Unlike Proof of Work, PoST leverages unused hard drive space to secure the network, enabling anyone with a computer to participate without specialized hardware. Spacemesh introduces a mesh-based block DAG (Directed Acyclic Graph) structure for scalable and parallel consensus. The project aims to build a decentralized,... -
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Azure Quantum Development Kit
Azure Quantum Development Kit
...The playground is a small website that loads the Q# editor, compiler, samples, katas, and documentation for the standard library. It's a way to manually validate any changes you make to these components. The easiest way to develop in this repo is to use VS Code. When you open the project root, by default VS Code will recommend you install the extensions listed in .vscode/extensions.json. These extensions provide language services for editing, as well as linters and formatters to ensure the code meets the requirements (which are checked by the build.py script and CI).
