Showing 15058 open source projects for "research"

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  • 1
    SiteDorks

    SiteDorks

    Automate search engine dorking across hundreds of websites

    ...A built-in dataset contains hundreds of websites grouped into categories such as cloud services, developer platforms, documentation sites, social platforms, and communication tools. Users can also supply custom domain lists or CSV files to tailor searches for tasks like penetration testing, bug bounty research, or OSINT investigations.
    Downloads: 3 This Week
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  • 2
    ERNIE

    ERNIE

    The official repository for ERNIE 4.5 and ERNIEKit

    ...The project also emphasizes optimization techniques for large-scale training, including mixed-precision and hybrid-parallel strategies that are commonly needed for multi-node GPU clusters. In addition to training, it includes guidance and example materials intended to help developers adopt ERNIE models for real product scenarios rather than only research demonstrations.
    Downloads: 3 This Week
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  • 3
    iRODS

    iRODS

    Open Source Data Management Software

    The Integrated Rule-Oriented Data System (iRODS) is open-source data management software used by research, commercial, and governmental organizations worldwide. iRODS is released as a production-level distribution aimed at deployment in mission-critical environments. It virtualizes data storage resources, so users can take control of their data, regardless of where and on what device the data is stored. The development infrastructure supports exhaustive testing on supported platforms; plugin support for microservices, storage resources, authentication mechanisms, network protocols, rule engines, new API endpoints, and databases; and extensive documentation, training, and support services.
    Downloads: 3 This Week
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  • 4
    Open MCT

    Open MCT

    A web based mission control framework

    ...Web-based, for desktop and mobile. Software based on Open MCT is in use as a data visualization tool in support of multiple missions at the Jet Propulsion Laboratory, and at NASA's Ames Research Center to support the development of lunar rover mission concepts. Open MCT can be adapted for planning and operations of any system that produces telemetry. While Open MCT is developed to support space missions, its core concepts are not unique to that domain. It can display streaming and historical data, imagery, timelines, procedures, and other data visualizations, all in one place. ...
    Downloads: 3 This Week
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    MongoDB Atlas runs apps anywhere

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  • 5
    patent-disclosure-skill

    patent-disclosure-skill

    Point excavation and submission book

    ...A separate reading mode turns patent numbers, PDFs, or full text into plain-language notes with claim structure, terminology, and supporting context. Obsidian integration can store the results as linked notes, canvases, and knowledge graphs for ongoing research.
    Downloads: 1 This Week
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  • 6
    Marble Skill Taxonomy

    Marble Skill Taxonomy

    Structured taxonomy of what children learn across the primary years

    ...It aligns micro-topics to national curriculum standards such as NGSS, Common Core, and the UK National Curriculum. It is useful for learning platforms, curriculum tools, tutoring systems, assessment products, and education research projects.
    Downloads: 1 This Week
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  • 7
    Crucix

    Crucix

    Your personal intelligence agent

    Crucix is a project focused on creating a structured system for understanding and organizing complex concepts, often leveraging AI to assist in breaking down information into more digestible forms. It aims to help users navigate and synthesize knowledge by transforming raw information into structured insights. The system is designed to support iterative exploration, where users can refine their understanding through repeated interaction and analysis. Crucix emphasizes clarity and...
    Downloads: 1 This Week
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  • 8
    Seurat

    Seurat

    R toolkit for single cell genomics

    ...It supports quality control, normalization, clustering, integration of multimodal data (e.g., scRNA‑seq, spatial, CITE‑seq), and visualization. Seurat v5 introduces scalable workflows and spatial transcriptomics support, commonly used in academic and industry research for single-cell studies.
    Downloads: 0 This Week
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  • 9
    DI-engine

    DI-engine

    OpenDILab Decision AI Engine

    DI-engine is a unified reinforcement learning (RL) platform for reproducible and scalable RL research. It offers modular pipelines for various RL algorithms, with an emphasis on production-level training and evaluation.
    Downloads: 0 This Week
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  • Build Securely on Azure with Proven Frameworks Icon
    Build Securely on Azure with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

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  • 10
    VectorizedMultiAgentSimulator (VMAS)

    VectorizedMultiAgentSimulator (VMAS)

    VMAS is a vectorized differentiable simulator

    VectorizedMultiAgentSimulator is a high-performance, vectorized simulator for multi-agent systems, focusing on large-scale agent interactions in shared environments. It is designed for research in multi-agent reinforcement learning, robotics, and autonomous systems where thousands of agents need to be simulated efficiently.
    Downloads: 1 This Week
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  • 11
    Classical Language Toolkit (CLTK)

    Classical Language Toolkit (CLTK)

    The Classical Language Toolkit

    The Classical Language Toolkit (CLTK) is a Python library offering natural language processing support for classical languages, including Latin, Greek, and others.
    Downloads: 0 This Week
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  • 12
    DOLMA

    DOLMA

    Data and tools for generating and inspecting OLMo pre-training data

    DOLMA (Data Optimization and Learning for Model Alignment) is a framework designed to manage large-scale datasets for training and fine-tuning language models efficiently.
    Downloads: 0 This Week
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  • 13
    PaperAI

    PaperAI

    Semantic search and workflows for medical/scientific papers

    PaperAI is an open-source framework for searching and analyzing scientific papers, particularly useful for researchers looking to extract insights from large-scale document collections.
    Downloads: 0 This Week
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  • 14
    FastRAG

    FastRAG

    Efficient Retrieval Augmentation and Generation Framework

    fastRAG is a research framework for efficient and optimized retrieval augmented generative pipelines, incorporating state-of-the-art LLMs and Information Retrieval. fastRAG is designed to empower researchers and developers with a comprehensive tool set for advancing retrieval augmented generation.
    Downloads: 0 This Week
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  • 15
    go1pylib

    go1pylib

    go1pylib is a Python library designed to control the Go1 robot

    go1pylib is a Python library designed to control the Go1 robot by Unitree Robotics. It provides an easy-to-use interface for robot movement, state management, collision avoidance, battery monitoring, and MQTT communication. Ideal for research and robotics development.
    Downloads: 0 This Week
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  • 16
    Hecke.jl

    Hecke.jl

    Computational algebraic number theory

    ...It is written in julia and is based on the computer algebra packages Nemo and AbstractAlgebra. Hecke is part of the OSCAR project and the development is supported by the Deutsche Forschungsgemeinschaft DFG within the Collaborative Research Center TRR 195.
    Downloads: 0 This Week
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  • 17
    HOOMD-blue

    HOOMD-blue

    Molecular dynamics and Monte Carlo soft matter simulation on GPUs

    ...HOOMD-blue supports efficient parallel execution and has been used for large-scale GPU-based simulations. Its main value is combining a flexible Python user experience with strong GPU performance for modern particle simulation research.
    Downloads: 1 This Week
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  • 18
    PPT Builder Skill

    PPT Builder Skill

    AI-friendly PPT builder skill: 17 hand-polished Chinese PPTX templates

    ...For original presentations, it guides agents toward clean layouts with simple typography, generous spacing, and restrained visual elements. The project is intended for personal learning and research use, not commercial use.
    Downloads: 1 This Week
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  • 19
    Anything Analyzer

    Anything Analyzer

    AI Agent/IDE | All-in-one protocol analysis toolkit

    ...It integrates AI-powered analysis to interpret captured data and provide insights into protocols and behaviors. The system is built to connect seamlessly with AI agents and development environments through MCP server integration. It is particularly useful for security research, debugging, and reverse engineering workflows. Overall, it transforms complex network inspection into an extensible and intelligent analysis platform.
    Downloads: 1 This Week
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  • 20
    Mercury Agent

    Mercury Agent

    Soul-driven AI agent with permission-hardened tools, token budgets

    ...It supports integration with external APIs and services, making it adaptable to various domains. The architecture is modular, allowing developers to customize and extend agent capabilities. It is particularly useful for automation, research, and task delegation scenarios. Overall, mercury-agent enables scalable and intelligent workflow automation.
    Downloads: 1 This Week
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  • 21
    FFmpeg Quality Metrics

    FFmpeg Quality Metrics

    Calculate quality metrics with FFmpeg (SSIM, PSNR, VMAF, VIF)

    ...It supports widely used metrics such as PSNR, SSIM, VIF, MSAD, and VMAF, enabling detailed comparison between reference and distorted video files. The tool outputs both per-frame data and aggregated statistics like averages and standard deviation, making it useful for research, encoding optimization, and benchmarking. It also includes optional visualization features through an interactive web-based dashboard for analyzing results graphically. Designed for cross-platform use, it integrates seamlessly into automated workflows and supports JSON or CSV output formats for further analysis. This makes it particularly valuable for engineers working on video compression and streaming systems.
    Downloads: 1 This Week
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  • 22
    BTC Trading Since 2020

    BTC Trading Since 2020

    Public BTC trading context since 2020

    BTC-Trading-Since-2020 is a cryptocurrency trading analysis project that focuses on evaluating Bitcoin trading strategies using historical data and algorithmic approaches. The repository serves as both a research and experimentation environment, allowing users to explore how different strategies perform under varying market conditions. It includes backtesting capabilities that enable users to simulate trades over historical Bitcoin price data, helping to identify profitable patterns and risk factors. The project emphasizes data-driven decision-making, providing tools and scripts to analyze trends, generate signals, and evaluate performance metrics. ...
    Downloads: 1 This Week
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  • 23
    Flash-MoE

    Flash-MoE

    Running a big model on a small laptop

    ...It likely includes support for GPU acceleration and parallel processing, enabling it to handle large-scale workloads effectively. The architecture emphasizes speed and efficiency, making it suitable for both research and production environments where performance is critical. It may also provide tools for benchmarking and tuning model behavior. Overall, flash-moe represents a technical advancement in making MoE models more practical and deployable.
    Downloads: 1 This Week
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  • 24
    CUDA-Q

    CUDA-Q

    C++ and Python support for the CUDA Quantum programming model

    ...The platform is designed to be hardware-agnostic, allowing developers to run applications on different quantum backends or simulate them efficiently using GPU acceleration when physical quantum hardware is unavailable. It enables complex workflows where classical and quantum computations are tightly integrated, supporting advanced research and real-world applications in quantum computing. The repository includes components such as the nvq++ compiler and runtime systems that manage execution across heterogeneous environments.
    Downloads: 1 This Week
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  • 25
    Hugging Face - Speech To Speech

    Hugging Face - Speech To Speech

    Open speech-to-speech models and pipelines by Hugging Face toolkit AI

    This project from Hugging Face focuses on enabling direct speech-to-speech processing using modern machine learning models. It provides tools and reference implementations that allow audio input to be transformed into audio output without requiring an intermediate text representation. Hugging Face - Speech To Speech builds on recent advances in speech modeling, combining components such as speech recognition, translation, and synthesis into unified pipelines. It is designed to help...
    Downloads: 2 This Week
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