Search Results for "artificial" - Page 89
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Showing 8133 open source projects for "artificial"
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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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Agentic Commerce Protocol (ACP)
Interaction model for connecting buyers to complete purchases
ACP is an open, draft specification for letting buyers, their AI agents, and businesses complete purchases through a standardized interaction model. It’s maintained by OpenAI and Stripe and licensed under Apache-2.0, with the goal of being easy to adopt alongside a merchant’s existing commerce stack rather than replacing it. The repository organizes the spec as human-readable RFCs plus machine-readable OpenAPI and JSON Schema definitions, along with worked examples and a changelog so... -
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HunyuanWorld-Voyager
RGBD video generation model conditioned on camera input
HunyuanWorld-Voyager is a next-generation video diffusion framework developed by Tencent-Hunyuan for generating world-consistent 3D scene videos from a single input image. By leveraging user-defined camera paths, it enables immersive scene exploration and supports controllable video synthesis with high realism. The system jointly produces aligned RGB and depth video sequences, making it directly applicable to 3D reconstruction tasks. At its core, Voyager integrates a world-consistent video... -
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pwa-asset-generator
Automates PWA asset generation and image declaration
Automates PWA asset generation and image declaration. Automatically generates icon and splash screen images, favicons and mstile images. Updates manifest.json and index.html files with the generated images according to Web App Manifest specs and Apple Human Interface guidelines. When you build a PWA with a goal of providing native-like experiences on multiple platforms and stores, you need to meet with the criteria of those platforms and stores with your PWA assets; icon sizes and splash... -
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SDGym
Benchmarking synthetic data generation methods
The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques – classical statistics, deep learning and more! The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking. You also customize the process to include your own work. Select any of the publicly available datasets from the... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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AIMET
AIMET is a library that provides advanced quantization and compression
Qualcomm Innovation Center (QuIC) is at the forefront of enabling low-power inference at the edge through its pioneering model-efficiency research. QuIC has a mission to help migrate the ecosystem toward fixed-point inference. With this goal, QuIC presents the AI Model Efficiency Toolkit (AIMET) - a library that provides advanced quantization and compression techniques for trained neural network models. AIMET enables neural networks to run more efficiently on fixed-point AI hardware... -
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Deep Java Library (DJL)
An engine-agnostic deep learning framework in Java
Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers. DJL provides native Java development experience and functions like any other regular Java library. You don't have to be a machine learning/deep learning expert to get started. You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your... -
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AWS IoT FleetWise Edge
AWS IoT FleetWise Edge Agent
Easily collect, transform, and transfer vehicle data to the cloud in near-real-time. AWS IoT FleetWise makes it easy and cost-effective for automakers to collect, transform, and transfer vehicle data to the cloud in near-real-time and use it to build applications with analytics and machine learning that improve vehicle quality, safety, and autonomy. Train autonomous vehicles (AVs) and advanced driver assistance systems (ADAS) with camera data collected from a fleet of production vehicles.... -
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Synapse Machine Learning
Simple and distributed Machine Learning
SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. SynapseML builds on Apache Spark and SparkML to enable new kinds of machine learning, analytics, and model deployment workflows. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with the Open Neural Network Exchange (ONNX), LightGBM, The Cognitive Services, Vowpal Wabbit,... -
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PRINTFILM
AI video customer acquisition and AI short drama creation platform
PRINTFILM is an open-source AI video creation platform for producing animated dramas, short-form videos, and promotional content. Its workflow turns a topic or script into storyboards, generated images, generated video, and a finished composition. Long-form projects can manage outlines, episodes, scripts, characters, scenes, props, and reusable visual assets. Short-video workflows include more than 20 style templates and allow individual shots to be regenerated without restarting the entire... -
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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AI Infra
Understanding of AI Infra: Quantitative Analysis and System Design
AI Infra Book is an open-source technical book and companion repository focused on the infrastructure behind modern large language models. It approaches inference and training through quantitative analysis of hardware limits, data movement, model architecture, and distributed systems. The book contains twelve chapters supported by formulas, diagrams, experiments, and case studies. Companion tools help readers reproduce resource calculations and inspect the assumptions behind system-design... -
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SuperBased
Local-first control plane for AI coding agents
SuperBased is a local-first control plane for tracking, launching, and analyzing AI coding agents across many tools. It normalizes local session data from more than 40 adapters, including Claude Code, Codex, Cursor, Gemini CLI, Copilot, and others. Its optional reverse proxy captures provider-billed token details for more accurate cost attribution. A local dashboard, CLI, MCP server, and VS Code extension expose sessions, files, tokens, costs, and runtime state. Twenty-seven supported tools... -
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Pi MCP Adapter
Token-efficient MCP adapter for Pi coding agent
Pi MCP Adapter connects Model Context Protocol servers to Pi while minimizing the context consumed by large tool schemas. Instead of loading every MCP tool definition into the conversation, it exposes a compact proxy and discovers individual capabilities only when they are needed. Servers are started lazily, which avoids running integrations that a session never uses. The adapter automatically recognizes standard project and user MCP configuration files and can help import compatible... -
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Copperhead
Hardware as fast as software
Copperhead is an AI product-development agent for designing, documenting, and validating real printed circuit boards from natural-language requirements. It works directly with existing KiCad repositories instead of generating isolated mockups or diagrams. A full creation workflow can turn a product brief into specifications, architecture, component selection, schematics, an initial PCB layout, Gerber files, firmware scaffolding, and a development plan. The agent can also modify existing... -
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MiniCPM5-2B
SOTA on-device LLMs, small yet powerful
MiniCPM5-2B is a family of compact language models developed for local, on-device, and resource-constrained AI workloads. The current MiniCPM5 series includes dense 1B and 2B models designed to deliver strong capability with a small deployment footprint. MiniCPM5-2B provides a 131K-token context window and targets assistants, coding agents, reasoning, tool use, and other agentic tasks. The repository includes base, supervised fine-tuned, and deployment-ready model variants. Quantized... -
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NVIDIA Personal AI Router (PAIR)
Router that virtually distributes inference across connected devices
NVIDIA Personal AI Router (PAIR) is a local inference router that distributes independent AI requests across compatible computers on the same network. It automatically discovers participating machines and routes jobs according to model availability, engine availability, and current workload. PAIR works with Ollama and LM Studio while exposing Ollama-compatible and OpenAI-compatible endpoints to applications and agents. Windows, Linux, and macOS systems can participate in the same cluster... -
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Better Harness
Help your coding agents get better at getting better
Better Harness is an open-source evaluation system for improving the workflows used by AI coding agents. Instead of reviewing only the final code change, it examines how an agent understood the task, executed work, validated results, delivered safely, and captured reusable lessons. It gathers project and session evidence while marking missing or unobserved behavior explicitly. Reports organize findings across five Agent Work Loop dimensions and connect each conclusion to visible supporting... -
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agentsview
Local-first session intelligence and analytics for coding agents
agentsview is a local-first analytics and session browser for developers using AI coding agents. It indexes conversations from tools like Claude Code, Codex, Gemini CLI, Cursor, OpenHands, and many other agent systems. The project lets users browse, search, and analyze coding-agent activity without creating an account or sending session content to a hosted service. It tracks token usage, cost, models, projects, tools, and session behavior across different agents. Its web interface adds... -
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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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React Native ExecuTorch
Declarative way to run AI models in React Native on device
React Native ExecuTorch is a library for running AI models directly on mobile devices from React Native. It is powered by ExecuTorch and provides a declarative approach to on-device model execution. The project supports a range of AI use cases, including large language models, computer vision, OCR, object detection, speech processing, segmentation, and embeddings. It helps React Native developers use local AI capabilities without needing deep native programming or machine learning... -
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React Native RAG
Private, local RAGs. Supercharge LLMs with your own knowledge base
React Native RAG is a local retrieval-augmented generation library for React Native applications. It lets mobile apps enhance language models with the user’s own knowledge base while keeping retrieval local. The library is modular, so developers can choose pieces such as LLM, embeddings, vector store, and text splitter components. It is also extensible, allowing teams to implement their own interfaces when they need custom model or storage behavior. React Native RAG supports multiple... -
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Vision Agents
Open Vision Agents by Stream. Build voice and vision agents quickly
Vision Agents is an open-source Python framework for building real-time voice and video AI agents. It is designed for applications that need to watch, listen, understand, and respond with very low latency. The framework can combine vision models, speech models, LLMs, and real-time transport providers into one agent workflow. It supports use cases such as live coaching, telehealth, customer support, security monitoring, interactive video assistants, and voice-controlled tools. Vision Agents... -
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No Cost AI
80+ free AI services for chat, image, video, voice & APIs
No Cost AI is a curated directory of free AI services across chat, image generation, video, voice, music, APIs, and automation tools. It is designed for users who want to discover AI resources without immediately committing to paid subscriptions. The project gathers many external services in one place, making it easier to compare options for different creative, technical, and productivity needs. It is useful for students, developers, creators, and experimenters who want to test AI tools with... -
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Microsoft Work IQ
MCP Server and CLI for accessing Work IQ
Work IQ is Microsoft’s plugin marketplace and MCP server collection for connecting GitHub Copilot CLI and AI assistants to Microsoft 365 work data. It provides plugins, skills, tools, and MCP servers that let users query emails, meetings, documents, Teams messages, and productivity context through natural language. The repository includes a public-preview marketplace workflow for installing Work IQ plugins into Copilot CLI. It also supports standalone MCP server installation through npm or... -
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ASSERT
Requirement-driven evaluation harness for AI agents and LLM
ASSERT is a requirement-driven evaluation harness for AI agents and LLM applications. It turns natural-language specifications, policies, product requirements, and launch criteria into structured tests that can be reviewed, executed, scored, and improved. The pipeline derives behavior categories, generates single-turn and multi-turn test cases, runs them against a target system, and uses an LLM judge to score conversations against the stated policies. It can evaluate hosted models, custom... -
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Guizang Social Card Skill
Claude Code / Codex skill — generate Xiaohongshu carousels
Guizang Social Card Skill is an AI-agent skill for generating polished social image packages in a Guizang-inspired visual style. It is designed for formats such as Xiaohongshu or Rednote carousels, WeChat Official Account covers, article covers, product update graphics, thumbnails, and screenshot-heavy posts. The skill turns articles, scripts, screenshots, product notes, subtitles, or photos into structured social card outputs. It supports editorial magazine layouts and Swiss-style visual...
