Search Results for "modal"
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Showing 228 open source projects for "modal"
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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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react-native-modal-datetime-picker
A React-Native datetime-picker for Android and iOS
A declarative cross-platform react-native date and time picker. This library exposes a cross-platform interface for showing the native date-picker and time-picker inside a modal, providing a unified user and developer experience. -
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Helix
A post-modern modal text editor
Helix is a modal (Kakoune/Vim‑inspired) terminal-based text editor written in Rust. It features modern modal editing, multiple selections, smart syntax highlighting, and built-in language server (LSP) integration leveraging tree‑sitter for fast, incremental parsing and code intelligence. -
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WireElements Livewire v3
Component that provides you with a modal supporting multiple modals
Wire Elements Modal is a Livewire component that provides you with a modal that supports multiple child modals while maintaining state. -
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SALMONN family
A suite of advanced multi-modal LLMs
...SALMONN aims to push the frontier of multi-modal AI by allowing models to process and reason over diverse inputs, which can be useful for applications such as video understanding, speech analytics, cross-modal retrieval, and general AI capable of interpreting rich, multi-sensory data. By open-sourcing SALMONN, ByteDance enables researchers and developers to build on its architecture, experiment with new modalities or tasks, and contribute to the growing ecosystem of multi-modal LLMs. -
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Zebra Dialog
A small, compact, and highly configurable jQuery plugin
A small, compact, and highly configurable jQuery plugin for creating modal dialog boxes. Zebra Dialog is a small, compact (one JavaScript file, no dependencies other than jQuery 1.7.0+) and highly configurable jQuery plugin for creating responsive modal dialog boxes, meant to replace native JavaScript alert, confirmation, and prompt dialogs. Can also be used as a notification widget (when configured to show no buttons and to close automatically) for updates or errors, without distracting users from their browser experience by displaying obtrusive alerts. ... -
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Helix Editor
A post-modern modal text editor
A Kakoune / Neovim inspired editor, written in Rust. The editing model is very heavily based on Kakoune. -
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Viewer.js
JavaScript image viewer
You may set viewer options with new Viewer(image, options). If you want to change the global default options, You may use Viewer.setDefaults(options). Enable the modal backdrop, specify static for the backdrop that will not close the modal on click. Specify the visibility and the content of the title. Filter the images for viewing (should return true if the image is viewable, return false to ignore the image). Indicate if toggle the image size between its natural size and initial size when double click on the image or not. ... -
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ViMax
Director, Screenwriter, Producer, and Video Generator All-in-One
ViMax is an open-source framework for performing large-scale multi-modal vision-language modeling and reasoning by combining powerful image encoders with advanced language models to solve complex visual tasks. It integrates components like visual encoders, cross-modal fusion techniques, and reasoning modules so that users can go beyond simple captioning or classification to perform tasks such as visual question answering, multi-image inference, and structured scene understanding. ... -
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Lapce
Lightning-fast and Powerful Code Editor written in Rust
Lapce is a GUI-based, next‑generation code editor written in Rust, using native GPU-accelerated rendering (via Floem and wgpu). It aims to deliver VS Code–level productivity with minimal latency, built-in LSP support, modal editing, remote development capabilities, and WASI‑based plugin extensibility. -
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Gemma
Gemma open-weight LLM library, from Google DeepMind
...Through included tutorials and Colab notebooks, users can explore examples covering sampling, multi-modal interactions, and fine-tuning workflows. By providing accessible open-weight models, Gemma enables researchers and developers to experiment with state-of-the-art LLM architectures. -
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Cropper.js
JavaScript image cropper
The size of the cropper inherits from the size of the image's parent element (wrapper), so be sure to wrap the image with a visible block element. If you are using cropper in a modal, you should initialize the cropper after the modal is shown completely. Otherwise, you will not get the correct cropper. The outputted cropped data is based on the original image size, so you can use them to crop the image directly. If you try to start cropper on a cross-origin image, please make sure that your browser supports HTML5 CORS settings attributes, and your image server supports the Access-Control-Allow-Origin option (see the HTTP access control (CORS)). ... -
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JoyAI-Echo
Pushing the Frontier of Long Audio-Visual Generation
JoyAI-Echo is an inference-focused framework for long-form audio-video generation. It is designed to create minute-level, multi-shot video stories from structured prompts while preserving continuity across scenes. The system uses a paired cross-modal memory bank to maintain visual identity and voice consistency over longer sequences. It also uses a distilled DMD generator to reduce inference cost and improve generation speed compared with heavier multi-step pipelines. JoyAI-Echo focuses on text-to-video and multi-shot long-video generation, while image-to-video support is not part of the current release scope. ... -
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Scanopy
Clean network diagrams, One-time setup, zero upkeep
Scanopy is a powerful multi-modal data capture and analysis toolkit that enables users to collect, process, and visualize structured and unstructured information from a variety of sources in a flexible pipeline. It is built to handle complex scanning tasks — such as OCR, document analysis, audio transcription, network data capture, and image extraction — while providing unified APIs and workflows that make managing heterogeneous data sources seamless. -
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django-admin-interface
Django's default admin interface made customizable
...Themes management and customization (you can customize admin title, logo and colors) You can add a theme you've created through the admin to this repository by sending us a PR. Themes management and customization (you can customize admin title, logo and colors). Responsive, related modal (instead of the old popup window), environment name/marker, language chooser, list filter dropdown. -
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RAG Anything
RAG-Anything: All-in-One RAG Framework
...Traditional RAG systems are typically limited to text and cannot effectively work across heterogeneous document layouts, but RAG-Anything addresses this by modeling multimodal content in ways that preserve cross-modal relationships and semantic context, often treating content elements as interconnected knowledge entities rather than separate data silos. The system uses a multi-stage pipeline (e.g., document parsing, content analysis, knowledge graph construction, intelligent retrieval) so queries can navigate across modalities with deeper understanding and relevance. -
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HY-World 2.0
A Multi-Modal World Model for Reconstructing, Generating, Simulation
HY-World 2.0 is a multi-modal world model framework for reconstructing, generating, and simulating navigable 3D worlds from diverse inputs. It accepts text prompts, single-view images, multi-view images, and videos, and produces 3D world representations rather than limiting output to flat video generation. For text and single-image inputs, it generates high-fidelity 3D Gaussian Splatting scenes through a multi-stage pipeline that includes panorama generation, trajectory planning, world expansion, and world composition. ... -
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WindowTextExtractor
WindowTextExtractor allows you to get a text from any OS
WindowTextExtractor allows you to get a text from any window of an operating system including asterisk passwords. Extract text from modal windows, buttons, textboxes, lists, etc. Show passwords stored behind asterisks (*****) from most of the windows apps. Show detailed window and process information. Show process environment variables. Show or hide almost any desktop window. Take a window screenshot. Record window stream in avi file. OCR support (including text, bar codes and QR codes) for Windows 10, 11. ... -
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Phidata
Build multi-modal Agents with memory, knowledge, tools and reasoning
Phidata is an open source platform for building, deploying, and monitoring AI agents. It enables users to create domain-specific agents with memory, knowledge, and external tools, enhancing AI capabilities for various tasks. The platform supports a range of large language models and integrates seamlessly with different databases, vector stores, and APIs. Phidata offers pre-configured templates to accelerate development and deployment, allowing users to quickly go from building agents to... -
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UForm
Multi-Modal Neural Networks for Semantic Search, based on Mid-Fusion
UForm is a Multi-Modal Modal Inference package, designed to encode Multi-Lingual Texts, Images, and, soon, Audio, Video, and Documents, into a shared vector space! It comes with a set of homonymous pre-trained networks available on HuggingFace portal and extends the transfromers package to support Mid-fusion Models. Late-fusion models encode each modality independently, but into one shared vector space. -
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Jina
Build cross-modal and multimodal applications on the cloud
Jina is a framework that empowers anyone to build cross-modal and multi-modal applications on the cloud. It uplifts a PoC into a production-ready service. Jina handles the infrastructure complexity, making advanced solution engineering and cloud-native technologies accessible to every developer. Build applications that deliver fresh insights from multiple data types such as text, image, audio, video, 3D mesh, PDF with Jina AI’s DocArray. -
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Floating UI
A low-level toolkit to create floating elements
...This positioning toolkit has a platform-agnostic 0.6 kB core (minified + Brotli compressed), with official bindings for the web, React DOM, React Native, and Vue. In addition to positioning, there are also interaction primitives to build floating UI components with React. This includes event hooks for hover, focus or click, modal and non-modal focus management, keyboard list navigation, typeahead, portals, backdrop overlays, screen reader support, and more. Floating elements are absolutely positioned, typically anchored to another UI element. Ensuring a floating element remains anchored next to another element can be challenging, especially in unique layout contexts like scrolling containers. -
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NitroGen
A Foundation Model for Generalist Gaming Agents
...This approach enables the model to control agents in different game genres and contexts, performing tasks that range from complex exploration and combat to fine-grained control in platformers, demonstrating adaptability across unseen environments. The project draws on MineDojo’s broader ecosystem for embodied AI, where multi-modal inputs and richly diverse benchmarks help push toward generalist AI capable of interactive decision making. -
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Podcastfy.ai
Transforming Multimodal Content into Captivating Multilingual Audio
Podcastfy is an open-source Python package that transforms multi-modal content (text, images) into engaging, multi-lingual audio conversations using GenAI. Input content includes websites, PDFs, youtube videos as well as images. Unlike UI-based tools focused primarily on note-taking or research synthesis (e.g. NotebookLM), Podcastfy focuses on the programmatic and bespoke generation of engaging, conversational transcripts and audio from a multitude of multi-modal sources enabling customization and scale. -
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Ax
Build LLM powered Agents and "Agentic workflows"
...Seamlessly integrates with multiple LLMs and VectorDBs to build RAG pipelines or collaborative agents that can solve complex problems. Advanced features streaming validation, multi-modal DSPy, etc. We've renamed from "llmclient" to "ax" to highlight our focus on powering agentic workflows. We agree with many experts like "Andrew Ng" that agentic workflows are the key to unlocking the true power of large language models and what can be achieved with in-context learning. Also, we are big fans of the Stanford DSPy paper, and this library is the result of all of this coming together to build a powerful framework for you to build with.