Showing 14907 open source projects for "x-windows"

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  • 1
    Director

    Director

    AI video agents framework for next-gen video interactions

    Director is a video database management system designed to organize, search, and retrieve large collections of video content efficiently.
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  • 2
    Milvus Bootcamp

    Milvus Bootcamp

    Dealing with all unstructured data, such as reverse image search

    Milvus Bootcamp is a collection of tutorials, examples, and best practices for using Milvus, an open-source vector database designed for AI-powered similarity search and retrieval applications.
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  • 3
    FastHTML

    FastHTML

    The fastest way to create an HTML app

    Built on solid web foundations, not the latest fads - with FastHTML you can get started on anything from simple dashboards to scalable web applications in minutes.
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  • 4
    pmdarima

    pmdarima

    Statistical library designed to fill the void in Python's time series

    A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
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    Train ML Models With SQL You Already Know

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  • 5
    GPflow

    GPflow

    Gaussian processes in TensorFlow

    GPflow is a package for building Gaussian process models in Python. It implements modern Gaussian process inference for composable kernels and likelihoods. GPflow builds on TensorFlow 2.4+ and TensorFlow Probability for running computations, which allows fast execution on GPUs.
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  • 6
    Jupyter Notebook Tools for Sphinx

    Jupyter Notebook Tools for Sphinx

    Sphinx source parser for Jupyter notebooks

    nbsphinx is a Sphinx extension that provides a source parser for *.ipynb files. Custom Sphinx directives are used to show Jupyter Notebook code cells (and of course their results) in both HTML and LaTeX output. Un-evaluated notebooks – i.e. notebooks without stored output cells – will be automatically executed during the Sphinx build process.
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  • 7
    troposphere

    troposphere

    Python library to create AWS CloudFormation descriptions

    The troposphere library allows for easier creation of the AWS CloudFormation JSON by writing Python code to describe the AWS resources. troposphere also includes some basic support for OpenStack resources via Heat. To facilitate catching CloudFormation or JSON errors early the library has property and type checking built into the classes.
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  • 8
    MyUW

    MyUW

    MyUW Django development server

    MyUW is a project under the University of Wisconsin-Madison Information Technology Department. The MyUW team develops several free and open source products which they operate in the MyUW portal, a portal that provides applicants, advisors, students, faculty and staff with an easy, secure and efficient way to access the university's services, applications and resources. This particular project will allow you to get started with the Django development server, running MyUW as javerage. From...
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  • 9
    One-Lin3r

    One-Lin3r

    Gives you one-liners that aids in penetration testing operations

    ...The framework includes hundreds of prebuilt one-liners covering areas such as reverse shells, privilege escalation, bind shells, and payload delivery techniques. It is designed to be cross-platform, supporting environments like Windows, Linux, macOS, and BSD systems, making it highly versatile for different penetration testing scenarios. One of its standout aspects is its intelligent autocomplete system, which not only predicts commands but also corrects user input errors and suggests the closest matching commands.
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    LongBench

    LongBench

    LongBench v2 and LongBench (ACL 25'&24')

    ...It supports bilingual evaluation in English and Chinese to assess multilingual capabilities across extended contexts. Newer versions of the benchmark introduce extremely long context windows ranging from thousands to millions of tokens, enabling researchers to test the limits of modern long-context models.
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  • 11
    EKS Best Practices

    EKS Best Practices

    A best practices guide for day 2 operations

    The Amazon EKS Best Practices Guide is a public repository containing comprehensive documentation and guidance for operating production-grade Kubernetes clusters on AWS’s managed service, Amazon EKS. Rather than a code library, it serves as a reference catalogue of patterns, anti-patterns, checklists and architectures across domains such as security, reliability, scalability, networking, cost optimization and hybrid cloud deployments. The repository is maintained by AWS but open to...
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  • 12
    Perf Book

    Perf Book

    The book "Performance Analysis and Tuning on Modern CPU"

    This project is a practical guide to performance analysis and tuning on modern CPUs, bridging microarchitecture details with hands-on profiling. It explains how caches, TLBs, prefetchers, branch predictors, and out-of-order execution influence real program speed, then connects those concepts to concrete optimization strategies. Readers learn how to design trustworthy benchmarks, avoid measurement traps (warmup, turbo, frequency scaling), and interpret hardware performance counters. The book...
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  • 13
    Reflex Dev

    Reflex Dev

    Web apps in pure Python

    Reflex is a Python framework for building full-stack web apps entirely in Python—without writing JavaScript for the frontend. It provides fast live reloads, built-in state management, deployment tooling, and optional AI-powered scaffolding to accelerate development.
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  • 14
    django-dbbackup

    django-dbbackup

    Management commands to help backup and restore your project database

    django-dbbackup is a Django management command extension for backing up and restoring databases and media files. It supports multiple storage backends including local file systems, Amazon S3, and Dropbox. Ideal for automated backup strategies, it simplifies the integration of backup logic into Django projects.
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  • 15
    QuivrHQ

    QuivrHQ

    Opiniated RAG for integrating GenAI in your apps

    Quivr is an open-source platform that leverages Retrieval-Augmented Generation (RAG) to integrate Generative AI into applications. It serves as a "second brain," enabling users to build powerful AI-driven assistants that can process and retrieve information efficiently. Quivr supports various large language models and vector stores, providing flexibility and customization for developers.
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  • 16
    Cybergod

    Cybergod

    A program that can do anything to earn money without human operators

    AGI Computer Control is an experimental autonomous software system designed to operate independently and generate income without human intervention. It aims to simulate artificial general intelligence (AGI) by leveraging evolutionary algorithms, deep active inference, and other advanced AI techniques. The project explores the boundaries of machine autonomy and self-directed behavior in computational environments.
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  • 17
    Llama Cloud Services

    Llama Cloud Services

    Knowledge Agents and Management in the Cloud

    Llama Cloud Services is a suite of tools designed to facilitate the integration of large language models (LLMs) into applications. It offers components for parsing, extracting, and reporting on complex documents, streamlining the process of preparing data for LLM consumption.​
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  • 18
    Legion MCP

    Legion MCP

    A server that helps people access and query data in databases

    The Legion MCP Server is designed to help users access and query data in databases using the Legion Query Runner, integrated with the Model Context Protocol (MCP) Python SDK. It facilitates efficient data retrieval and analysis through standardized interfaces. ​
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  • 19
    RA.Aid

    RA.Aid

    Develop software autonomously

    RA.Aid is an AI-powered assistant designed to enhance the efficiency of software development workflows. It integrates seamlessly with various development environments, providing intelligent code suggestions, automated documentation generation, and real-time error detection. By leveraging advanced machine learning models, RA.Aid aims to reduce development time and improve code quality.​
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  • 20
    R1-V

    R1-V

    Witness the aha moment of VLM with less than $3

    R1-V is an initiative aimed at enhancing the generalization capabilities of Vision-Language Models (VLMs) through Reinforcement Learning in Visual Reasoning (RLVR). The project focuses on building a comprehensive framework that emphasizes algorithm enhancement, efficiency optimization, and task diversity to achieve general vision-language intelligence and visual/GUI agents. The team's long-term goal is to contribute impactful open-source research in this domain.
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  • 21
    Tianji

    Tianji

    Evaluation suite designed to assess the performance of LLMs

    Tianji is a comprehensive evaluation suite designed to assess the performance of large language models (LLMs) across multiple dimensions. It focuses on measuring general capabilities such as reasoning, knowledge, commonsense, and language understanding. Tianji provides a curated set of benchmarks and a unified framework for systematically comparing LLMs, making it useful for research and model selection.
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  • 22
    PettingZoo

    PettingZoo

    An API standard for multi-agent reinforcement learning environments

    PettingZoo is a standardized API and library for multi-agent reinforcement learning (MARL) environments. It provides a broad set of environments and tools to facilitate the development and evaluation of multi-agent algorithms.
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  • 23
    GuardDog

    GuardDog

    GuardDog is a CLI tool to Identify malicious PyPI and npm packages

    guarddog is an open-source security tool by DataDog designed to detect risks in open-source dependencies. It helps developers analyze software supply chain risks and prevent malicious or vulnerable packages from being used.
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  • 24
    Letta

    Letta

    Letta (formerly MemGPT) is a framework for creating LLM services

    Letta is an AI-powered task automation framework designed to handle workflow automation, natural language commands, and AI-driven decision-making.
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  • 25
    KerasTuner

    KerasTuner

    A Hyperparameter Tuning Library for Keras

    KerasTuner is an easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search. Easily configure your search space with a define-by-run syntax, then leverage one of the available search algorithms to find the best hyperparameter values for your models. KerasTuner comes with Bayesian Optimization, Hyperband, and Random Search algorithms built-in, and is also designed to be easy for researchers to extend in order to experiment with new search...
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