Search Results for "linux operating systems" - Page 27
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Showing 1501 open source projects for "linux operating systems"
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VibeTensor
Our first fully AI generated deep learning system
VibeTensor is a groundbreaking open-source research system software stack for deep learning that was uniquely generated almost entirely by AI coding agents under guided human supervision, demonstrating a new frontier in AI-assisted software engineering. It implements a PyTorch-style eager tensor library with a modern C++20 core that supports both CPU and CUDA backends, giving it the ability to manage tensors, automatic differentiation (autograd), and complex computation flows similar to... -
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Open Model Zoo
Pre-trained Deep Learning models and demos
Open Model Zoo is a large repository of high-quality pre-trained deep learning models and demonstration applications designed to work with the OpenVINO™ toolkit, offering a comprehensive starting point for a wide range of AI and computer vision workloads. It includes hundreds of models covering object detection, classification, segmentation, pose estimation, speech recognition, text-to-speech, and more, many of which are already converted into formats optimized for inference on CPUs, GPUs,... -
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Oasis
Inference script for Oasis 500M
Open-Oasis provides inference code and released weights for Oasis 500M, an interactive world model that generates gameplay frames conditioned on user keyboard input. Instead of rendering a pre-built game world, the system produces the next visual state via a diffusion-transformer approach, effectively “imagining” the world response to your actions in real time. The project focuses on enabling action-conditional frame generation so developers can experiment with interactive, model-generated... -
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Menagerie
A collection of high-quality models for the MuJoCo physics engine
MuJoCo Menagerie, developed by Google DeepMind, is a curated collection of high-quality simulation models designed for use with the MuJoCo physics engine. It serves as a comprehensive library of accurate and ready-to-use robotic, biomechanical, and mechanical models, ensuring users can perform reliable simulations without having to build or tune models from scratch. The repository aims to improve reproducibility and quality across robotics research by providing verified models that adhere to... -
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Profile Data
Analyze computation-communication overlap in V3/R1
profile-data is a repository that publishes profiling traces and metrics from DeepSeek’s training and inference infrastructure (especially during DeepSeek-V3 / R1 experiments). The profiling data targets insights into computation-communication overlap, pipeline scheduling (e.g. DualPipe), and how MoE / EP / parallelism strategies interact in real systems. The repository contains JSON trace files like train.json, prefill.json, decode.json, and associated assets. Users can load them into tools... -
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thinking-orbs
Dotted thought-orb loading indicators for AI & agent UIs
thinking-orbs is a small React package that provides animated dotted status indicators for AI assistants and agent interfaces. It includes nine hand-tuned states representing activities such as working, searching, solving, listening, connecting, weaving, composing, breathing, and shaping. Each animation is drawn with a plain 2D canvas rather than WebGL, SVG filters, or expensive visual effects. Two independently tuned sizes target chat-avatar and inline-text use instead of simply scaling one... -
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OpenChronicle
Open-source, local-first memory for any tool-capable LLM agent
OpenChronicle is a knowledge management and storytelling platform designed to organize information into structured timelines and interconnected narratives. It allows users to create chronological records that link events, ideas, and entities in a cohesive format. The system emphasizes visualization and organization of complex information over time. It can be used for research, writing, or personal knowledge tracking. OpenChronicle supports extensibility, enabling customization of how data is... -
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The Minimalist Entrepreneur
Claude Code skills based on The Minimalist Entrepreneur
The Minimalist Entrepreneur repository is a curated collection of structured “skills” designed to enhance the capabilities of AI systems by providing reusable patterns, workflows, and domain-specific knowledge. It acts as a modular layer that can be integrated into AI agents to improve how they perform tasks such as reasoning, coding, communication, and decision-making. The project emphasizes composability, allowing individual skills to be combined into larger workflows that solve more... -
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BestBlogs
A collection of top programming
BestBlogs is an open-source project designed to aggregate, organize, and surface high-quality blog content from across the web, helping users discover valuable articles in a structured and accessible way. The platform focuses on curating content based on relevance, quality, and usefulness rather than simply indexing large volumes of information, making it particularly useful for developers, researchers, and knowledge seekers. It typically integrates automated data collection and filtering... -
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Quantitative Trading System
A comprehensive quantitative trading system with AI-powered analysis
Quantitative Trading System is a comprehensive quantitative trading platform that integrates artificial intelligence, financial data analysis, and automated strategy execution within a unified software system. The project is designed to provide an end-to-end infrastructure for building and operating algorithmic trading strategies in financial markets. It includes tools for collecting and processing market data from multiple sources, performing statistical and machine learning analysis, and... -
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TuyaOpen
Next-gen AI+IoT framework for T2/T3/T5AI/ESP32/and more
TuyaOpen is an open-source AI-enabled Internet of Things development framework designed to simplify the creation and deployment of smart connected devices. The platform provides a cross-platform C and C++ software development kit that supports a wide range of hardware platforms including Tuya microcontrollers, ESP32 boards, Raspberry Pi devices, and other embedded systems. It offers a unified development environment where developers can build devices capable of communicating with IoT cloud... -
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mergekit
Tools for merging pretrained large language models
mergekit is an open-source toolkit designed to combine multiple pretrained language models into a single unified model through parameter merging techniques. The framework enables developers to merge model checkpoints so that the resulting model inherits capabilities from several source models without requiring additional training. This approach allows researchers to combine specialized models into a more versatile system capable of performing multiple tasks. mergekit implements a variety of... -
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CosyVoice
Multi-lingual large voice generation model, providing inference
CosyVoice is a multilingual large voice generation model that offers a full-stack solution for training, inference, and deployment of high-quality TTS systems. The model supports multiple languages, including Chinese, English, Japanese, Korean, and a range of Chinese dialects such as Cantonese, Sichuanese, Shanghainese, Tianjinese, and Wuhanese. It is designed for zero-shot voice cloning and cross-lingual or mix-lingual scenarios, so a single reference voice can be used to synthesize speech... -
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Prompt Engineering Techniques
Collection of tutorials for Prompt Engineering techniques
Prompt Engineering Techniques is a focused companion repository that teaches prompt engineering systematically, from fundamentals to advanced strategies. It contains around twenty-plus hands-on Jupyter notebooks, each dedicated to a specific technique such as basic prompt structures, prompt templates and variables, zero-shot prompting, few-shot prompting, chain-of-thought, self-consistency, constrained generation, role prompting, task decomposition, and more. The tutorials are designed to be... -
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Koog
Koog is the official Kotlin framework for building AI agents
Koog is a Kotlin‑based framework for building and running AI agents entirely in idiomatic Kotlin, supporting both single‑run agents that process individual inputs and complex workflow agents with custom strategies and configurations. It features pure Kotlin implementation, seamless Model Control Protocol (MCP) integration for enhanced model management, vector embeddings for semantic search, and a flexible system for creating and extending tools that access external systems and APIs.... -
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Corsair
Your Agent's Integration Layer
Corsair is a unified integration layer that lets AI agents interact with external applications without exposing the underlying credentials to the agent. Developers connect integrations once and expose typed tools through Corsair or its MCP interface. A permission system can allow, require approval for, or block read, write, and destructive operations. Credentials are resolved internally and can be stored with envelope encryption rather than passed into model context. Multi-tenant mode... -
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daily.dev
Network for developers to learn, collaborate, and grow together
daily.dev is the open-source codebase behind the daily.dev developer news platform, which aggregates and personalizes technical content for programmers. The project focuses on delivering curated feeds of articles, tutorials, and community discussions tailored to developer interests. It combines content aggregation, ranking algorithms, and user personalization to create an engaging discovery experience. The platform is built with modern web technologies and emphasizes performance and... -
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Fara-7B
An Efficient Agentic Model for Computer Use
Fara-7B is a Microsoft initiative aimed at bringing rigor, transparency, and structured evaluation to AI systems through automated and customizable assessment frameworks. It provides stakeholders with a way to benchmark and evaluate models across dimensions such as fairness, robustness, security, privacy, and ethical considerations. Rather than relying on ad-hoc or manual review processes, FARA enables organizations to profile AI behavior using standardized tests, metrics, and reporting... -
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PyG
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support,... -
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Agent Client Protocol (ACP)
A protocol for connecting any editor to any agent
Agent Client Protocol is an open protocol for standardizing communication between code editors and AI coding agents. It defines how an interactive editor can connect to an agent that reads, edits, and reasons about source code. The project is meant to reduce fragmentation between IDEs, terminal tools, and autonomous coding systems by creating a shared communication layer. Its goal is to let any compatible editor work with any compatible coding agent without every integration being... -
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MathCode
A Frontier Mathematical Coding Agent
MathCode is a terminal-based AI coding assistant focused on mathematical formalization and theorem proving. It is designed to transform plain-language mathematical reasoning into verified Lean 4 code and formal proofs. The project combines AI agents with Lean Language Server Protocol integration, allowing it to inspect compiler feedback, search for lemmas, and iteratively repair failed proof attempts. It supports an agentic proving workflow where the system behaves more like an interactive... -
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Alpamayo 1
Bridging Reasoning and Action Prediction
Alpamayo 1 is a pre-trained reasoning model developed by NVIDIA to support research and development in autonomous driving systems. It combines perception, reasoning, and action prediction into a unified architecture, enabling it to interpret complex driving scenarios and generate trajectory plans. The model is designed as a foundational component rather than a complete driving stack, allowing developers to build custom autonomous vehicle applications on top of it. It incorporates... -
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Claude Context
Code search MCP for Claude Code
Claude Context is a tool designed to enhance the contextual understanding of large language models by managing and injecting relevant information into prompts. It focuses on improving response quality by ensuring that models have access to the most relevant data when generating outputs. The system integrates with vector databases and retrieval systems, enabling efficient storage and retrieval of contextual information. It supports workflows such as retrieval-augmented generation, where... -
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GEOFlow
Open-source GEO content production system with AI tasks
GEOFlow is a workflow system designed to manage and automate processes related to geographic and search optimization tasks using AI-driven pipelines. It focuses on structuring complex workflows into manageable steps, allowing users to orchestrate tasks such as content generation, analysis, and optimization. The system emphasizes modular design, enabling users to build reusable components that can be combined into larger workflows. It integrates with AI tools to enhance automation and... -
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GEO Content Writer
Backlog-row-first content production system for teams
GEO Content Writer is an AI-based content generation tool designed to create optimized content tailored for geographic and semantic search contexts. It focuses on producing articles, pages, and structured content that align with both traditional SEO requirements and emerging AI search patterns. The system leverages language models to generate content that is context-aware, location-specific, and optimized for discoverability. It supports automated workflows for generating large volumes of...
