Search Results for "input" - Page 14
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Showing 4623 open source projects for "input"
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Ariadne
Python library for implementing GraphQL servers
Ariadne is a Python library for implementing GraphQL servers. Schema-first. Ariadne enables Python developers to use a schema-first approach to the API implementation. This is the leading approach used by the GraphQL community and supported by dozens of frontend and backend developer tools, examples, and learning resources. Ariadne makes all of this immediately available to you and other members of your team. Ariadne offers a small, consistent, and easy to memorize API that lets developers... -
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Funkin
A rhythm game made with HaxeFlixel
...The project includes the full game source built using Haxe and OpenFL, allowing contributors and modders to explore and extend the game mechanics, audio library, and visual assets. In the core game loop, players navigate a story across multiple weeks with unique songs and characters, and the engine handles input timing, score calculation, and animated feedback in sync with background music. Because it’s open source, the community has created an expansive ecosystem of mods, new songs, and custom charts that extend replayability far beyond the base content. The repository itself is designed to be approachable for new developers who want to learn game development or contribute to the project, with build scripts, asset pipelines, and documentation to help users compile the game locally. -
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DocSearch
The easiest way to add search to your documentation
Initially created to fulfill our own developers' needs, DocSearch quickly evolved into a successful community project. Over the years, we've explored new ways to address the complexities of search for the open-source community. DocSearch understands how the user input fits into the context of your project and instantly presents the most relevant content with fewer interactions than any other method. With a design very close to the native experience on mobile, we leverage users acquaintance with the interaction patterns of each OS. We scrape your documentation or technical blog, configure the Algolia application and send you the snippet you'll have to integrate. ... -
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OpenXR SDK Sources Project
Sources for OpenXR loader, basic API layers, and example code
...OpenXR is a royalty-free, open standard that provides high-performance access to Augmented Reality (AR) and Virtual Reality (VR), collectively known as XR platforms and devices. Without a cross-platform standard, VR and AR applications and engines must use each platform’s proprietary APIs. New input devices need customized driver integration. OpenXR provides cross-platform, high-performance access directly into diverse XR device runtimes across multiple platforms. OpenXR enables applications and engines, including WebXR, to run on any system that exposes the OpenXR APIs. -
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KIF
An iOS functional testing framework
KIF, which stands for Keep It Functional, is an iOS integration test framework. It allows for easy automation of iOS apps by leveraging the accessibility attributes that the OS makes available for those with visual disabilities. KIF builds and performs the tests using a standard XCTest testing target. Testing is conducted synchronously in the main thread (running the run loop to force the passage of time) allowing for more complex logic and composition. This also allows KIF to take advantage... -
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HarfBuzz
Open source text shaping engine
...This is essentially the process of text shaping: translating a string of character codes into a properly arranged sequence of glyphs that can be rendered onto a screen or into final output form for inclusion in a document. This shaping depends on a number of factors: the input string, the active font, the script (or writing system) of the string, and the string's language. Various font formats have their own set of standard text-shaping rules. With Harfbuzz, you can properly shape all the major writing systems. HarfBuzz is cross-platform and supports all major software platforms and font formats. -
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jQWidgets
Angular, Vue, React, Web Components, Blazor, Javascript, jQuery, etc.
...You can use jQWidgets with TypeScript, popular frameworks like Angular, Vue, React, and server-side technologies like ASP.NET MVC, PHP, JSP, and Node.js. jQWidgets is a feature complete framework with professional touch-enabled Javascript components, themes, input validation, drag & drop plug-ins, data adapters, built-in WAI-ARIA accessibility, internationalization and MVVM support. -
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express-validator
An express.js middleware for validator.js
express-validator is a set of express.js middlewares that wraps validator.js validator and sanitizer functions. It's recommended that you have basic knowledge of the express.js module before you go on with this guide. Sometimes, receiving input in a HTTP request isn't only about making sure that the data is in the right format, but also that it is free of noise. validator.js provides a handful of sanitizers that can be used to take care of the data that comes in. Although express-validator offers plenty of handy validators and sanitizers through its underlying dependency validator.js, it doesn't always suffice when building your application. ... -
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Autograd
Efficiently computes derivatives of numpy code
...For more information, check out the tutorial and the examples directory. We can continue to differentiate as many times as we like, and use numpy's vectorization of scalar-valued functions across many different input values. -
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ncc
Compile a Node.js project into a single file
Simple CLI for compiling a Node.js module into a single file, together with all its dependencies, gcc-style. Publish minimal packages to npm. Only ship relevant app code to serverless environments Don't waste time configuring bundlers, it is generally faster bootup time and less I/O overhead. Compiled language-like experience (e.g.: go). For testing and debugging, a file can be built into a temporary directory and executed with full source maps support. Some packages may need some extra... -
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ahooks
React hooks library
...At the same time, the Hooks API can be consulted in the provided documentation. Hooks are allowed to have no output, which is generally common in life cycle Hooks. In principle, more than two parameters are not allowed. Direct input regardless of whether a single parameter is required. -
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Step-Video-T2V
State-of-the-art (SoTA) text-to-video pre-trained model
Step-Video-T2V is a state-of-the-art text-to-video foundation model developed to generate videos from natural-language prompts; its 30B-parameter architecture is designed to produce coherent, temporally extended video sequences — up to around 204 frames — based on input text. Under the hood it uses a compressed latent representation (a Video-VAE) to reduce spatial and temporal redundancy, and a denoising diffusion (or similar) process over that latent space to generate smooth, plausible motion and visuals. The model handles bilingual input (e.g. English and Chinese) thanks to dual encoders, and supports end-to-end text-to-video generation without requiring external assets. ... -
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Mach Engine
Zig game engine & graphics toolkit
Mach is a game engine and graphics toolkit written in Zig, built with the goal of enabling high-performance, truly cross-platform 2D, 3D, GUI, and visualization applications. The project aims to deliver a modular, robust foundation where graphics, input, windowing, and rendering are unified under a modern, low-level but ergonomic API. Because Mach is written in Zig (with some shader code / WGSL), it leverages Zig’s performance and modern systems-level features while offering safe-ish abstractions compared to raw graphics APIs. The engine supports a broad set of target platforms — desktop OSes and in principle, future expansion — and tries to simplify the pain of dependency management and cross-compilation, making it easier to build and deploy across systems without complex toolchains. ... -
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MindSearch
An LLM-based Multi-agent Framework of Web Search Engine
MindSearch is an AI-powered search engine based on large language models (LLMs) designed for deep semantic search and retrieval. It leverages InternLM's language model to understand complex queries and retrieve highly relevant answers from large datasets. -
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MNE-Python
Magnetoencephalography (MEG) and Electroencephalography EEG in Python
...MNE-Python is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG, ECoG, and more. It includes modules for data input/output, preprocessing, visualization, source estimation, time-frequency analysis, connectivity analysis, machine learning, statistics, and more. -
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htmlparser2
The fast & forgiving HTML and XML parser
...If you need strict HTML spec compliance, have a look at parse5. htmlparser2 itself provides a callback interface that allows the consumption of documents with minimal allocations. While the Parser interface closely resembles Node.js streams, it’s not a 100% match. Use the WritableStream interface to process a streaming input. -
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ML Sharp
Sharp Monocular View Synthesis in Less Than a Second
ML Sharp is a research code release that turns a single 2D photograph into a photorealistic 3D representation that can be rendered from nearby viewpoints. Instead of requiring multi-view input, it predicts the parameters of a 3D Gaussian scene representation directly from one image using a single forward pass through a neural network. The core idea is speed: the 3D representation is produced in under a second on a standard GPU, and then the resulting scene can be rendered in real time to generate new views interactively. ... -
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CodeLlama
Inference code for CodeLlama models
Code Llama is a family of Llama-based code models optimized for programming tasks such as code generation, completion, and repair, with variants specialized for base coding, Python, and instruction following. The repo documents the sizes and capabilities (e.g., 7B, 13B, 34B) and highlights features like infilling and large input context to support real IDE workflows. It targets both general software synthesis and language-specific productivity, offering strong performance among open models at release time. Typical usage includes prompt-driven generation, function or class completion, and zero-shot adherence to natural-language instructions about code changes. ... -
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Isaac ROS Visual SLAM
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
...Isaac ROS Visual SLAM provides a high-performance, best-in-class ROS 2 package for VSLAM (visual simultaneous localization and mapping). This package uses one or more stereo cameras and optionally an IMU to estimate odometry as an input to navigation. It is GPU-accelerated to provide real-time, low-latency results in a robotics application. VSLAM provides an additional odometry source for mobile robots (ground-based) and can be the primary odometry source for drones. VSLAM provides a method for visually estimating the position of a robot relative to its start position, known as VO (visual odometry). ... -
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nut.js
Native UI testing / controlling with node
nut.js gives you full control over your mouse. Move, click or drag your cursor where you need it! Press (and hold) single keys or type pages of text, nut.js handles both! It allows for native UI interactions via keyboard and/or mouse but additionally gives you the possibility to navigate the screen based on image matching. nut.js gives you access to your system clipboard. Copy and paste text as you go! Retrieve info about open windows to improve your tests or workflows. nut.js provides... -
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linuxdeployqt
Makes Linux applications self-contained by copying in the libraries
Makes Linux applications self-contained by copying in the libraries and plugins that the application uses, and optionally generates an AppImage. Can be used for Qt and other applications. This Linux Deployment Tool, linuxdeployqt, takes an application as input and makes it self-contained by copying in the resources that the application uses (like libraries, graphics, and plugins) into a bundle. The resulting bundle can be distributed as an AppDir or as an AppImage to users, or can be put into cross-distribution packages. It can be used as part of the build process to deploy applications written in C, C++, and other compiled languages with systems like CMake, qmake, and make. ... -
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Turndown
An HTML to Markdown converter written in JavaScript
...For usage with RequireJS, UMD versions are located in lib/turndown.umd.js (for Node.js) and lib/turndown.browser.umd.js for browser usage. These files are generated when the npm package is published. To generate them manually, clone this repo and run npm run build. Turndown also accepts DOM nodes as input (either element nodes, document nodes, or document fragment nodes). Options can be passed in to the constructor on instantiation. The key parameter is a unique name for the rule for easy reference. By default, Turndown does not keep any elements. The filter parameter works like a rule filter. To keep elements that are normally handled by rules, add a rule with the desired behaviour. -
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Click
Python composable command line interface toolkit
...Click in three points, arbitrary nesting of commands, automatic help page generation, supports lazy loading of subcommands at runtime. Comes with useful common helpers (getting terminal dimensions, ANSI colors, fetching direct keyboard input, screen clearing, finding config paths, launching apps and editors, etc.). Click actually implements its own parsing of arguments and does not use optparse or argparse following the optparse parsing behavior. Click is designed to be fun and customizable but not overly flexible. -
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DataDrivenDiffEq.jl
Data driven modeling and automated discovery of dynamical systems
DataDrivenDiffEq.jl is a package for finding systems of equations automatically from a dataset. The methods in this package take in data and return the model which generated the data. A known model is not required as input. These methods can estimate equation-free and equation-based models for discrete, continuous differential equations or direct mappings. -
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DeepSeek VL2
Mixture-of-Experts Vision-Language Models for Advanced Multimodal
DeepSeek-VL2 is DeepSeek’s vision + language multimodal model—essentially the next-gen successor to their first vision-language models. It combines image and text inputs into a unified embedding / reasoning space so that you can query with text and image jointly (e.g. “What’s going on in this scene?” or “Generate a caption appropriate to context”). The model supports both image understanding (vision tasks) and multimodal reasoning, and is likely used as a component in agent systems to...
