Search Results for "documentation" - Page 15

Showing 978 open source projects for "documentation"

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  • 1
    mistletoe

    mistletoe

    A fast, extensible and spec-compliant Markdown parser in pure Python

    mistletoe is a Markdown parser in pure Python, designed to be fast, spec-compliant and fully customizable. Apart from being the fastest CommonMark-compliant Markdown parser implementation in pure Python, mistletoe also supports easy definitions of custom tokens. Parsing Markdown into an abstract syntax tree also allows us to swap out renderers for different output formats, without touching any of the core components.
    Downloads: 0 This Week
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  • 2
    voila

    voila

    Voilà turns Jupyter notebooks into standalone web applications

    From notebooks to standalone web applications and dashboards. Voilà allows you to convert a Jupyter Notebook into an interactive dashboard that allows you to share your work with others. It is secure and customizable, giving you control over what your readers experience. Unlike the usual HTML-converted notebooks, each user connecting to the Voilà tornado application gets a dedicated Jupyter kernel which can execute the callbacks to changes in Jupyter interactive widgets. To render the bqplot...
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  • 3
    Kubespider

    Kubespider

    A global resource download orchestration system

    We are a community of individuals who share a passion for life and have come together based on shared interests and needs. In our free time, we collaborated to develop Kubespider. Kubespider is developed to utilize an idle server in a local area network as a NAS, enabling automatic downloads of TV series, triggering downloads from a local laptop, and adapting to various websites such as YouTube and BiliBili, as well as different types of resources such as TV series, movies, music and more....
    Downloads: 1 This Week
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  • 4
    Wizarr

    Wizarr

    User invitation and management system for Jellyfin, Plex, Emby etc.

    ...It features a web interface and wizard-style processes for creating, customizing, and tracking user invites, with support for multi-server management, single-sign-on integrations, and automated notification workflows. Documentation highlights the ability to guide invited users through required downloads and configuration, and the system includes features for securing invitations and tailoring invitation templates.
    Downloads: 0 This Week
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  • 5
    DeepCode

    DeepCode

    DeepCode: Open Agentic Coding

    DeepCode is an agentic coding platform built around a multi-agent architecture that turns high-level inputs, including research papers, documents, and natural-language requirements, into working software artifacts. It positions itself as an “open agentic coding” system that can handle tasks like paper-to-code reproduction, frontend generation, and backend implementation by decomposing problems into structured steps and coordinating specialized agents. The system description highlights an...
    Downloads: 0 This Week
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  • 6
    MyPy

    MyPy

    Optional static typing for Python

    ...Advanced configuration via mypy.ini or pyproject.toml enables per-module strictness, plugin hooks for popular libraries, and fine-grained control of inference and error reporting. Documentation covers everything from newcomer guides to strict mode recipes and release notes. The ecosystem includes typed stubs, third-party plugins, and broad community support that makes mypy a default choice for large Python projects.
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  • 7
    TruLens

    TruLens

    Evaluation and Tracking for LLM Experiments

    TruLens is an open-source Python library designed to systematically evaluate and track Large Language Model (LLM) applications. It provides fine-grained instrumentation, feedback functions, and a user interface to compare and iterate on app versions, facilitating rapid development and improvement of LLM-based applications. Programmatic tools that assess the quality of inputs, outputs, and intermediate results from LLM applications, enabling scalable evaluation. Fine-grained, stack-agnostic...
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  • 8
    Audiogen Codec

    Audiogen Codec

    48khz stereo neural audio codec for general audio

    AGC (Audiogen Codec) is a convolutional autoencoder based on the DAC architecture, which holds SOTA. We found that training with EMA and adding a perceptual loss term with CLAP features improved performance. These codecs, being low compression, outperform Meta's EnCodec and DAC on general audio as validated from internal blind ELO games. We trained (relatively) very low compression codecs in the pursuit of solving a core issue regarding general music and audio generation, low acoustic...
    Downloads: 0 This Week
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  • 9
    pass import

    pass import

    A pass extension for importing data from most existing password

    A pass extension for importing data from most existing password managers. Password management should be simple and follow Unix philosophy. With pass, each password lives inside of a gpg encrypted file whose filename is the title of the website or resource that requires the password. These encrypted files may be organized into meaningful folder hierarchies, copied from computer to computer, and, in general, manipulated using standard command line file management utilities.
    Downloads: 0 This Week
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  • 10
    uAgents

    uAgents

    A fast and lightweight framework for creating decentralized agents

    uAgents is a library developed by Fetch.ai that allows for creating autonomous AI agents in Python. With simple and expressive decorators, you can have an agent that performs various tasks on a schedule or takes action on various events.
    Downloads: 0 This Week
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  • 11
    Optax

    Optax

    Optax is a gradient processing and optimization library for JAX

    Optax is a gradient processing and optimization library for JAX. It is designed to facilitate research by providing building blocks that can be recombined in custom ways in order to optimize parametric models such as, but not limited to, deep neural networks. We favor focusing on small composable building blocks that can be effectively combined into custom solutions. Others may build upon these basic components in more complicated abstractions. Whenever reasonable, implementations prioritize...
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  • 12
    Hamilton DAGWorks

    Hamilton DAGWorks

    Helps scientists define testable, modular, self-documenting dataflow

    Hamilton is a lightweight Python library for directed acyclic graphs (DAGs) of data transformations. Your DAG is portable; it runs anywhere Python runs, whether it's a script, notebook, Airflow pipeline, FastAPI server, etc. Your DAG is expressive; Hamilton has extensive features to define and modify the execution of a DAG (e.g., data validation, experiment tracking, remote execution). To create a DAG, write regular Python functions that specify their dependencies with their parameters. As...
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  • 13
    Fairlearn

    Fairlearn

    A Python package to assess and improve fairness of ML models

    Fairlearn is a Python package that empowers developers of artificial intelligence (AI) systems to assess their system's fairness and mitigate any observed unfairness issues. Fairlearn contains mitigation algorithms as well as metrics for model assessment. Besides the source code, this repository also contains Jupyter notebooks with examples of Fairlearn usage. An AI system can behave unfairly for a variety of reasons. In Fairlearn, we define whether an AI system is behaving unfairly in terms...
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  • 14
    Foolbox

    Foolbox

    Python toolbox to create adversarial examples

    Foolbox: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX. Foolbox 3 is built on top of EagerPy and runs natively in PyTorch, TensorFlow, and JAX. Foolbox provides a large collection of state-of-the-art gradient-based and decision-based adversarial attacks. Catch bugs before running your code thanks to extensive type annotations in Foolbox. Foolbox is a Python library that lets you easily run adversarial attacks against machine...
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  • 15
    Haiku Sonnet for JAX

    Haiku Sonnet for JAX

    JAX-based neural network library

    Haiku is a library built on top of JAX designed to provide simple, composable abstractions for machine learning research. JAX is a numerical computing library that combines NumPy, automatic differentiation, and first-class GPU/TPU support. Haiku is a simple neural network library for JAX that enables users to use familiar object-oriented programming models while allowing full access to JAX's pure function transformations. Haiku provides two core tools: a module abstraction, hk.Module, and a...
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  • 16
    pomegranate

    pomegranate

    Fast, flexible and easy to use probabilistic modelling in Python

    pomegranate is a library for probabilistic modeling defined by its modular implementation and treatment of all models as the probability distributions they are. The modular implementation allows one to easily drop normal distributions into a mixture model to create a Gaussian mixture model just as easily as dropping a gamma and a Poisson distribution into a mixture model to create a heterogeneous mixture. But that's not all! Because each model is treated as a probability distribution,...
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  • 17
    Sacred

    Sacred

    Sacred is a tool to help you configure, andorganize IDSIA experiments

    Sacred is a tool to help you configure, organize, log and reproduce experiments. It is designed to do all the tedious overhead work that you need to do around your actual experiment. A very convenient way of the local variables in a function to define the parameters your experiment uses. You can access all parameters of your configuration from every function. They are automatically injected by name. You get a powerful command-line interface for each experiment that you can use to change...
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  • 18
    Aim

    Aim

    An easy-to-use & supercharged open-source experiment tracker

    Aim logs all your AI metadata (experiments, prompts, etc) enabling a UI to compare & observe them and SDK to query them programmatically. The Aim standard package comes with all integrations. If you'd like to modify the integration and make it custom, create a new integration package and share with others. Aim is an open-source, self-hosted AI Metadata tracking tool designed to handle 100,000s of tracked metadata sequences. The two most famous AI metadata applications are: experiment...
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  • 19
    DoWhy

    DoWhy

    DoWhy is a Python library for causal inference

    DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks. Much like machine learning libraries have done for prediction, DoWhy is a Python library that aims to spark causal thinking and analysis. DoWhy provides a wide variety of algorithms for effect estimation, causal structure learning, diagnosis of causal...
    Downloads: 0 This Week
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  • 20
    flair

    flair

    A very simple framework for state-of-the-art NLP

    A very simple framework for state-of-the-art NLP. Developed by Humboldt University of Berlin and friends. A powerful NLP library. Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), sentiment analysis, part-of-speech tagging (PoS), special support for biomedical texts, sense disambiguation and classification, with support for a rapidly growing number of languages. A text embedding library. Flair has...
    Downloads: 0 This Week
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  • 21
    pwndbg

    pwndbg

    Exploit Development and Reverse Engineering with GDB Made Easy

    Pwndbg is a fast, simple and lightweight tool for modern debugging. It improves debugging experience with the strength of GDB for low-level software developers, hardware hackers, reverse engineers, and exploit developers. It provides features crucial for efficient debugging in the world of low-level programming. Vanilla GDB is terrible to use for reverse engineering and exploit development. Typing x/g30x $esp is not fun, and does not confer much information. The year is 2024 and GDB still...
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  • 22
    Python Progressbar

    Python Progressbar

    Progressbar 2 - A progress bar for Python 2 and Python 3

    A text progress bar is typically used to display the progress of a long-running operation, providing a visual cue that processing is underway. The progressbar is based on the old Python progressbar package that was published on the now-defunct Google Code. Since that project was completely abandoned by its developer and the developer did not respond to my email, I decided to fork the package. This package is still backward compatible with the original progressbar package so you can safely...
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  • 23
    Python colorlog

    Python colorlog

    A colored formatter for the python logging module

    Add colors to the output of Python's logging module. This library is over a decade old and supported a wide set of Python versions for most of its life, which has made it a difficult library to add new features to. colorlog 6 may break backward compatibility so that newer features can be added more easily, but may still not accept all changes or feature requests. colorlog 4 might accept essential bug fixes but should not be considered actively maintained and will not accept any major changes...
    Downloads: 0 This Week
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  • 24
    Pymunk

    Pymunk

    Pymunk is a easy-to-use pythonic 2d physics library

    Pymunk is an easy-to-use Pythonic 2D physics library that can be used whenever you need 2D rigid body physics from Python. Perfect when you need 2D physics in your game, demo or simulation! It is built on top of the very capable 2D physics library Chipmunk2D. The first version was released in 2007 and Pymunk is still actively developed and maintained today, more than 15 years of active development. Pymunk has been used with success in many projects, big and small. For example: 3 Pyweek game...
    Downloads: 0 This Week
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  • 25
    Mentat

    Mentat

    Mentat - The AI Coding Assistant

    Mentat is the AI tool that assists you with any coding task, right from your command line. Unlike Copilot, Mentat coordinates edits across multiple locations and files. And unlike ChatGPT, Mentat already has the context of your project, no copy and pasting is required. Run Mentat from within your project directory. Mentat uses Git, so if your project doesn't already have Git set up, run git init. List the files you would like Mentat to read and edit as arguments. Mentat will add each of them...
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