Search Results for "documentation" - Page 73
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Showing 6103 open source projects for "documentation"
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QuantumClifford.jl
Clifford circuits, graph states, and other quantum Stabilizer tools
A Julia package for working with quantum stabilizer states and Clifford circuits that act on them. Graphs states are also supported. The package is already very fast for the majority of common operations, but there are still many low-hanging fruits performance-wise. See the detailed suggested readings & references page for background on the various algorithms. -
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Sway
i3-compatible Wayland compositor
Sway is a tiling Wayland compositor and a drop-in replacement for the i3 window manager for X11. It works with your existing i3 configuration and supports most of i3's features, plus a few extras. Sway allows you to arrange your application windows logically, rather than spatially. Windows are arranged into a grid by default which maximizes the efficiency of your screen and can be quickly manipulated using only the keyboard. -
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CounterfactualExplanations.jl
A package for Counterfactual Explanations and Algorithmic Recourse
CounterfactualExplanations.jl is a package for generating Counterfactual Explanations (CE) and Algorithmic Recourse (AR) for black-box algorithms. Both CE and AR are related tools for explainable artificial intelligence (XAI). While the package is written purely in Julia, it can be used to explain machine learning algorithms developed and trained in other popular programming languages like Python and R. See below for a short introduction and other resources or dive straight into the docs. -
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SciMLBase.jl
The Base interface of the SciML ecosystem
SciMLBase.jl is the core interface definition of the SciML ecosystem. It is a low-dependency library made to be depended on by the downstream libraries to supply the common interface and allow for the interexchange of mathematical problems. The SciML common interface ties together the numerical solvers of the Julia package ecosystem into a single unified interface. It is designed for maximal efficiency and parallelism, while incorporating essential features for large-scale scientific machine... -
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Functors.jl
Parameterise all the things
Functors.jl provides tools to express a powerful design pattern for dealing with large/ nested structures, as in machine learning and optimization. For large machine learning models, it can be cumbersome or inefficient to work with parameters as one big, flat vector, and structs help manage complexity; but it is also desirable to easily operate over all parameters at once, e.g. for changing precision or applying an optimizer update step. -
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Parquet.jl
Julia implementation of Parquet columnar file format reader
A parquet file or dataset can be loaded using the read_parquet function. A parquet dataset is a directory with multiple parquet files, each of which is a partition belonging to the dataset. -
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IntervalRootFinding.jl
Find all roots of a function in a guaranteed way with Julia
This package provides guaranteed methods for finding roots of functions, i.e. solutions to the equation f(x) == 0 for a function f. To do so, it uses methods from interval analysis, using interval arithmetic from the IntervalArithmetic.jl package by the same authors. The basic function is roots. A standard Julia function and an interval is provided and the roots function return a list of intervals containing all roots of the function located in the starting interval. -
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FinEtools.jl
Finite Element tools in Julia
FinEtools is a package for basic operations on finite element meshes: Construction, modification, selection, and evaluation of quantities defined on a mesh. Utilities are provided for maintaining mesh-based data (fields), for defining normals and loads, for working with physical units and coordinate systems, and for integrating over finite element meshes. -
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MethodOfLines.jl
Automatic Finite Difference PDE solving with Julia SciML
MethodOfLines.jl is a Julia package for automated finite difference discretization of symbolically defined PDEs in N dimensions. It uses symbolic expressions for systems of partial differential equations as defined with ModelingToolkit.jl, and Interval from DomainSets.jl to define the space(time) over which the simulation runs. This project is under active development, therefore the interface is subject to change. The docs will be updated to reflect any changes, please check back for current... -
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Tulip.jl
Interior-point solver in pure Julia
Tulip is an open-source interior-point solver for linear optimization, written in pure Julia. It implements the homogeneous primal-dual interior-point algorithm with multiple centrality corrections and therefore handles unbounded and infeasible problems. Tulip’s main feature is that its algorithmic framework is disentangled from linear algebra implementations. This allows to seamless integration of specialized routines for structured problems. -
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xhtml2pdf
A library for converting HTML into PDFs using ReportLab
xhtml2pdf enables users to generate PDF documents from HTML content easily and with automated flow control such as pagination and keeping text together. The Python module can be used in any Python environment, including Django. The Command line tool is a stand-alone program that can be executed from the command line. -
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Metalhead.jl
Computer vision models for Flux
Metalhead.jl provides standard machine learning vision models for use with Flux.jl. The architectures in this package make use of pure Flux layers, and they represent the best practices for creating modules like residual blocks, inception blocks, etc. in Flux. Metalhead also provides some building blocks for more complex models in the Layers module. -
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Enzyme.jl
Julia bindings for the Enzyme automatic differentiator
This is a package containing the Julia bindings for Enzyme. This is very much a work in progress and bug reports/discussion is greatly appreciated. Enzyme is a plugin that performs automatic differentiation (AD) of statically analyzable LLVM. It is highly-efficient and its ability perform AD on optimized code allows Enzyme to meet or exceed the performance of state-of-the-art AD tools. -
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Zygote
21st century AD
Zygote provides source-to-source automatic differentiation (AD) in Julia, and is the next-gen AD system for the Flux differentiable programming framework. For more details and benchmarks of Zygote's technique, see our paper. You may want to check out Flux for more interesting examples of Zygote usage; the documentation here focuses on internals and advanced AD usage. -
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iguana
Universal serialization engine
iguana is a modern, universal and easy-to-use serialization engine developed in C++20 and C++17. Serialize an object to any other format data with compile-time reflection, such as json, xml, binary, table and so on. This library is designed to unify and simplify serialization in a portable cross-platform manner. This library is also easy to extend, and you can serialize any format of data with the library. -
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Superstaq
Quantum software platform that is optimized across the quantum stack
This repository is the home of the Superstaq development team's open-source work. Our quantum software platform is optimized across the quantum stack and enables users to write quantum programs in Cirq or Qiskit and target a variety of quantum computers and simulators. -
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MongoDB JVM Driver
The MongoDB drivers for Java, Kotlin, and Scala
Welcome to the documentation site for the Java Driver, the MongoDB driver for synchronous Java applications. Download it using Maven or Gradle, or set up a runnable project by following our Quick Start guide. For tutorials on how to use the MongoDB JVM Drivers, please reference MongoDB University. Additional tutorials, videos, and code examples using both the Java Driver and the Kotlin Driver can also be found in the MongoDB Developer Center. -
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WebLink Component
Manages links between resources
The WebLink component manages links between resources. It is particularly useful to advise clients to preload and prefetch documents through HTTP and HTTP/2 pushes. This component implements the HTML5's Links, Preload and Resource Hints W3C's specifications. It can also be used with extensions defined in the HTML5 link type extensions wiki. -
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Laravel SOAP Client
Laravel Soap Client
This package provides an expressive, minimal API around the Soap Client from Phpro, allowing you to quickly make outgoing SOAP requests to communicate with other web applications. It is using HTTPplug as a handler with Guzzle as client. Some code is based/copied on/from Laravel HTTP wrapper. -
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pywebview
Build GUI for your Python program with JavaScript, HTML, and CSS
pywebview is a lightweight cross-platform wrapper around a webview component that allows to display HTML content in its own native GUI window. It gives you power of web technologies in your desktop application, hiding the fact that GUI is browser based. You can use pywebview either with a lightweight web framework like Flask or Bottle or on its own with a two way bridge between Python and DOM. pywebview uses native GUI for creating a web component window: WinForms on Windows, Cocoa on macOS... -
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emanote
Emanate a structured view of your plain-text notes
Emanate a structured view of your plain-text notes. Create beautiful websites such as personal webpage, blog, wiki, Zettelkasten, notebook, knowledge-base, documentation, etc. from future-proof plain-text notes and arbitrary data, with live preview that updates in real-time. Emanote is the spiritual successor to neurons based on Ema. Emanote is a Haskell software. Thanks to Nix, this repository is pre-configured to provide a delightful development experience with full IDE support in Visual Studio Code. -
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MechanicalSoup
A Python library for automating interaction with websites
A Python library for automating interaction with websites. MechanicalSoup automatically stores and sends cookies, follows redirects, and can follow links and submit forms. It doesn't do JavaScript. MechanicalSoup was created by M Hickford, who was a fond user of the Mechanize library. Unfortunately, Mechanize was incompatible with Python 3 until 2019 and its development stalled for several years. MechanicalSoup provides a similar API, built on Python giants Requests (for HTTP sessions) and... -
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Diffusers
State-of-the-art diffusion models for image and audio generation
...We recommend installing Diffusers in a virtual environment from PyPi or Conda. For more details about installing PyTorch and Flax, please refer to their official documentation. -
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aws-prototyping-sdk
Contains useful CDK and Projen constructs vended in multiple languages
...The PDK contains a set of useful CDK and Projen constructs, vended in multiple languages. For packages marked experimental, please refer to the usage instruction contained within the respective package documentation. -
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Pulumi
Developer-first infrastructure as code. Your cloud, your language
Pulumi's Infrastructure as Code SDK is the easiest way to create and deploy cloud software that use containers, serverless functions, hosted services, and infrastructure, on any cloud. Simply write code in your favorite language and Pulumi automatically provisions and manages your AWS, Azure, Google Cloud Platform, and/or Kubernetes resources, using an infrastructure-as-code approach. Skip the YAML, and use standard language features like loops, functions, classes, and package management...