Showing 3214 open source projects for "art-linux"

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  • 1
    Tree

    Tree

    tree is a library for working with nested data structures

    Tree (dm-tree) is a lightweight Python library developed by Google DeepMind for manipulating nested data structures (also called pytrees). It generalizes Python’s built-in map function to operate over arbitrarily nested collections — including lists, tuples, dicts, and custom container types — while preserving their structure. This makes it particularly useful in machine learning pipelines and JAX-based workflows, where complex parameter trees or hierarchical state representations are...
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  • 2
    Awesome Free ChatGPT

    Awesome Free ChatGPT

    List of free ChatGPT mirror sites, continuously updated

    This is a curated directory of freely accessible ChatGPT-style services and mirror sites that offer AI chatbot interfaces without login or payment requirements. Resources often support multiple models like GPT-4, Claude, Gemini, and more. Data collected from multiple independent sites with descriptions and tags. Includes services with image upload and drawing capabilities. Aggregates free, no-login-required ChatGPT-like web services. Continually updated mirror list to maintain availability.
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  • 3
    Django Bootstrap Modal Forms

    Django Bootstrap Modal Forms

    A Django plugin for creating AJAX driven forms in Bootstrap modal

    A Django plugin for creating AJAX-driven forms in Bootstrap modal. This repository includes Dockerfile and docker-compose.yml files so you can easily setup and start to experiment with django-bootstrap-modal-forms running inside of a container on your local machine. Any changes you make in bootstrap_modal_forms, examples and test folders are reflected in the container (see docker-compose.yml) and the data stored in the sqlite3 database are persistent even if you remove the stopped container....
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  • 4
    Mobly

    Mobly

    E2E test framework for tests with complex environment requirements

    Mobly is a Python-based test framework that specializes in supporting test cases that require multiple devices, complex environments, or custom hardware setups. P2P data transfer between two devices. Conference calls across three phones. Wearable device interacting with a phone. Internet-Of-Things devices interacting with each other. Testing RF characteristics of devices with special equipment. Testing LTE network by controlling phones, base stations, and eNBs. Mobly can support many...
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  • 5
    Wemake Django Template

    Wemake Django Template

    Bleeding edge django template focused on code quality and security

    What this project is all about? The main idea of this project is to provide a fully configured template for django projects, where code quality, testing, documentation, security, and scalability are number one priorities. This template is a result of implementing our processes, it should not be considered as an independent part. When developing this template we had several goals in mind. Development environment should be bootstrapped easily, so we use docker-compose for that. Development...
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  • 6
    Django Filer

    Django Filer

    File and Image Management Application for django

    django Filer is a file management application for django that makes handling files and images a breeze. django-filer is a file management application for django. It handles uploading and organizing files and images in contrib.admin. Custom model fields are provided for use in 3rd party apps as a replacement for the default FileField from django. Behind the scenes a ForeignKey to the File model is used. It is possible to define the important part of an image (the subject location) in the...
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  • 7
    AutoKeras

    AutoKeras

    AutoML library for deep learning

    AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible to everyone. AutoKeras only support Python 3. If you followed previous steps to use virtualenv to install tensorflow, you can just activate the virtualenv. Currently, AutoKeras is only compatible with Python >= 3.7 and TensorFlow >= 2.8.0. AutoKeras supports several tasks with extremely simple interface. AutoKeras would search for the...
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  • 8
    Testinfra

    Testinfra

    Testinfra test your infrastructures

    With Testinfra you can write unit tests in Python to test the actual state of your servers configured by management tools like Salt, Ansible, Puppet, Chef and so on. Testinfra aims to be a Serverspec equivalent in python and is written as a plugin to the powerful Pytest test engine. By default Testinfra launches tests on the local machines, but you can also test remotes systems using paramiko. If you have a lot of tests, you can use the pytest-xdist plugin to run tests using multiple...
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  • 9
    IceCream

    IceCream

    Never use print() to debug again

    Do you ever use print() or log() to debug your code? Of course you do. IceCream, or ic for short, makes print debugging a little sweeter. With arguments, ic() inspects itself and prints both its own arguments and the values of those arguments. Just give ic() a variable or expression and you're done. ic() returns its argument(s), so ic() can easily be inserted into pre-existing code. Additionally, ic()'s output can be entirely disabled, and later re-enabled, with ic.disable() and ic.enable()...
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  • 10
    UltiSnips

    UltiSnips

    Snippet solution for Vim

    UltiSnips is the ultimate solution for snippets in Vim. It has many features, speed being one of them. You should first expand the #! snippet, then the class snippet. The completion menu comes from YouCompleteMe, UltiSnips also integrates with deoplete, and more. You can jump through placeholders and add text while the snippet inserts text in other places automatically: when you add Animal as a base class, __init__ gets updated to call the base class constructor. When you add arguments to...
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  • 11
    statsmodels

    statsmodels

    Statsmodels, statistical modeling and econometrics in Python

    statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. An extensive list of result statistics are available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open source Modified BSD (3-clause) license. Generalized linear models with support for all...
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  • 12
    Music Assistant

    Music Assistant

    Music Assistant is a free, opensource Media library manager

    Music Assistant Server is the core backend for Music Assistant, a free and open-source music library manager for local and online music sources. It connects streaming services, local files, metadata providers, and many speaker ecosystems into one centralized music system. The server is designed to run on an always-on device such as a Raspberry Pi, NAS, Intel NUC, or similar home server. It can work as a standalone product, but it is especially tailored for Home Assistant users who want...
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  • 13
    Yao Open Prompts

    Yao Open Prompts

    A Chinese AI prompt vocabulary covering work, learning, content, etc.

    Yao Open Prompts is an open-source AI prompt library focused on real work, study, content, marketing, education, and everyday use cases. The repository organizes 116 Chinese prompt files into practical categories and also provides synchronized English versions. Each prompt is cleaned and structured for reuse, keeping the copyable prompt body while removing promotional material, screenshots, and irrelevant formatting from the original collection. The library includes prompts for meta-prompt...
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  • 14
    Claude Cookbooks

    Claude Cookbooks

    A collection of notebooks/recipes showcasing ways of using Claude

    Claude Cookbooks is a curated collection of practical examples, notebooks, and implementation guides that demonstrate how to effectively use Claude’s API across a wide range of tasks. It serves as both a learning resource and a reference library, helping developers understand how to apply AI capabilities such as classification, summarization, and retrieval-augmented generation in real-world scenarios. The repository includes structured examples for integrating Claude with external tools,...
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  • 15
    Airweave CLI

    Airweave CLI

    The Airweave CLI for developers and AI agents

    Airweave CLI is a command-line interface designed to streamline the development, deployment, and management of AI-powered workflows and agent-based systems. It provides developers with a lightweight tool to interact with Airweave’s platform directly from the terminal, enabling rapid iteration on AI pipelines without relying on graphical interfaces. The CLI simplifies tasks such as configuring environments, running AI agents, managing prompts, and integrating external APIs, making it...
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  • 16
    TradingAgents

    TradingAgents

    Chinese Financial Trading Framework Based on Multi-Agent LLM

    TradingAgents-CN is a Chinese-enhanced, multi-agent LLM framework aimed at building financial analysis and trading-oriented workflows, with an emphasis on collaboration between specialized agents rather than a single monolithic prompt. It organizes market-related tasks into roles and stages so different agents can contribute research, reasoning, aggregation, and decision support in a structured pipeline. The project is oriented toward practical usage, including a stack that can be run in a...
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  • 17
    Flask-SocketIO

    Flask-SocketIO

    Socket.IO integration for Flask applications

    Flask-SocketIO is an extension for the Flask web framework that enables real-time bi-directional communication between clients and servers using WebSockets or long-polling fallbacks, making it possible to build interactive applications like chat systems, live dashboards, and collaborative tools. It abstracts the complexities of asynchronous sockets by providing a familiar Flask-style API where developers can define event handlers that trigger on client messages, broadcast to connected users,...
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  • 18
    TensorRT Node for ComfyUI

    TensorRT Node for ComfyUI

    Enables the best performance on NVIDIA RTX Graphics Cards

    ComfyUI_TensorRT is an extension that lets ComfyUI run AI inference through NVIDIA’s TensorRT, aiming to get faster, more efficient execution on supported GPUs. It bridges the gap between ComfyUI’s flexible, node-based workflows and TensorRT’s highly optimized engine format. The result is that complex diffusion or image-processing graphs can be accelerated without the user having to rewrite the pipeline. The repo typically includes instructions for converting models to TensorRT engines and...
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  • 19
    repren

    repren

    Rename anything

    Repren is a “rename anything” command-line tool that performs regex-based search and replace across file contents while also renaming or moving files and directories according to patterns. It’s meant for sweeping refactors: change a class or package name everywhere and update filenames to match in one pass. The design favors explicitness and safety, providing dry-run output so you can preview exactly what will change before executing it. It handles recursive directory walks, lets you filter...
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  • 20
    Uncertainty Baselines

    Uncertainty Baselines

    High-quality implementations of standard and SOTA methods

    Uncertainty Baselines is a collection of strong, well-documented training pipelines that make it straightforward to evaluate predictive uncertainty in modern machine learning models. Rather than offering toy scripts, it provides end-to-end recipes—data input, model architectures, training loops, evaluation metrics, and logging—so results are comparable across runs and research groups. The library spans canonical modalities and tasks, from image classification and NLP to tabular problems,...
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  • 21
    Google CTF

    Google CTF

    Google CTF

    Google CTF is the public repository that houses most of the challenges from Google’s Capture-the-Flag competitions since 2017 and the infrastructure used to run them. It’s a learning and practice archive: competitors and educators can replay tasks across categories like pwn, reversing, crypto, web, sandboxing, and forensics. The code and binaries intentionally contain vulnerabilities—by design—so users can explore exploit chains and patching in realistic settings. The repo also includes...
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  • 22
    pytype

    pytype

    A static type analyzer for Python code

    pytype is a static type analyzer that checks and infers types for Python code without executing it, catching errors at “compile time” and generating actionable diagnostics. It grew alongside Python typing at Google and can understand both inline annotations and unannotated code via powerful inference. The tool consumes stub files (.pyi) for the standard library and third-party packages (from typeshed and its own built-ins), enabling accurate checks even in large, mixed-quality codebases....
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  • 23
    Nevergrad

    Nevergrad

    A Python toolbox for performing gradient-free optimization

    Nevergrad is a Python library for derivative-free optimization, offering robust implementations of many algorithms suited for black-box functions (i.e. functions where gradients are unavailable or unreliable). It targets hyperparameter search, architecture search, control problems, and experimental tuning—domains in which gradient-based methods may fail or be inapplicable. The library provides an easy interface to define an optimization problem (parameter space, loss function, budget) and...
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  • 24
    CoreNet

    CoreNet

    CoreNet: A library for training deep neural networks

    CoreNet is Apple’s internal deep learning framework for distributed neural network training, designed for high scalability, low-latency communication, and strong hardware efficiency. It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. Its distributed...
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  • 25
    DualPipe

    DualPipe

    A bidirectional pipeline parallelism algorithm

    DualPipe is a bidirectional pipeline parallelism algorithm open-sourced by DeepSeek, introduced in their DeepSeek-V3 technical framework. The main goal of DualPipe is to maximize overlap between computation and communication phases during distributed training, thus reducing idle GPU time (i.e. “pipeline bubbles”) and improving cluster efficiency. Traditional pipeline parallelism methods (e.g. 1F1B or staggered pipelining) leave gaps because forward and backward phases can’t fully overlap...
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