awesome-repositories.com
Blog
MCP
awesome-repositories.com

Découvrez les meilleurs dépôts open-source grâce à notre recherche par IA.

ExplorerRecherches sélectionnéesAlternatives open sourceLogiciels auto-hébergésBlogPlan du site
ProjetServeur MCPÀ proposNotre méthodologiePresse
Mentions légalesConfidentialitéConditions d'utilisation
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
Back to upscayl/upscayl

Open-source alternatives to Upscayl

30 open-source projects similar to upscayl/upscayl, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Upscayl alternative.

  • iree-org/ireeAvatar de iree-org

    iree-org/iree

    3,819Voir sur GitHub↗

    IREE is an MLIR-based compiler toolchain and runtime designed to translate machine learning models from various frameworks into optimized binaries for execution across diverse hardware targets. It provides a unified pipeline to ingest models from PyTorch, TensorFlow, JAX, and ONNX, lowering them into a common intermediate representation for deployment on CPUs, GPUs, and bare-metal embedded systems. The project distinguishes itself through a bytecode virtual machine and a hardware abstraction layer that decouple high-level model logic from specific hardware instruction sets. It supports sophis

    C++compilercudajax
    Voir sur GitHub↗3,819
  • facefusion/facefusionAvatar de facefusion

    facefusion/facefusion

    28,806Voir sur GitHub↗

    Facefusion is a modular framework designed for automated image and video manipulation, specializing in tasks such as face swapping, enhancement, and restoration. It functions as a computer vision processing pipeline that chains independent machine learning modules to perform complex transformations, including facial animation, age modification, and lip synchronization. The system is built to handle both real-time interactive feeds and large-scale batch processing tasks. The platform distinguishes itself through a highly extensible architecture that supports custom processing modules and inter

    Pythonaideep-fakedeepfake
    Voir sur GitHub↗28,806
  • cerebroapp/cerebroAvatar de cerebroapp

    cerebroapp/cerebro

    8,541Voir sur GitHub↗

    Cerebro is a cross-platform productivity tool and keyboard-driven command palette. It serves as a central search interface and desktop application launcher for finding and initiating the execution of local files, installed software, and web services. The application is an extensible search tool that supports a plugin system, allowing third-party modules to register custom search providers and new functional capabilities. The software covers several capability areas, including local file system navigation and preview, integrated web search, and productivity utilities for natural language mat

    JavaScriptcerebroelectronlauncher
    Voir sur GitHub↗8,541

Recherche par IA

Explorez plus de dépôts awesome

Décrivez vos besoins en langage naturel — l'IA classe des milliers de projets open source sélectionnés par pertinence.

Find more with AI search
  • tinygrad/tinygradAvatar de tinygrad

    tinygrad/tinygrad

    33,147Voir sur GitHub↗

    Tinygrad is a deep learning framework and tensor computation engine designed for building and training neural networks. It functions as a hardware abstraction layer that manages device memory, command queues, and kernel dispatching across heterogeneous computing architectures. By utilizing a lazy-evaluation approach, the framework constructs computational graphs that defer execution until data is explicitly required, allowing it to process only the necessary operations for a given result. The project distinguishes itself through a just-in-time compilation layer that transforms abstract comput

    Python
    Voir sur GitHub↗33,147
  • dropzone/dropzoneAvatar de dropzone

    dropzone/dropzone

    18,377Voir sur GitHub↗

    Dropzone is a JavaScript file upload library that provides a browser-based interface for capturing dropped files and transmitting them to a server. It functions as a multipart upload client, splitting large files into smaller chunks to increase transmission reliability and bypass server size limits. The library includes a client-side image processor capable of resizing images and correcting photo orientation in the browser before they are sent to a server. It generates image thumbnails and visual previews immediately after selection, and can render previews for files already hosted on a serve

    JavaScriptdrag-and-dropdropzonefile-upload
    Voir sur GitHub↗18,377
  • intel/media-driverAvatar de intel

    intel/media-driver

    1,215Voir sur GitHub↗

    The Intel GPU Media Driver is a hardware-accelerated driver designed to facilitate video decoding, encoding, and transcoding operations on Intel graphics processing units. It functions as a low-level abstraction layer that enables media applications to offload compute-intensive processing tasks to dedicated graphics hardware engines through a standardized software interface. The driver distinguishes itself by providing a unified hardware abstraction layer that translates high-level media requests into platform-specific instructions across diverse graphics hardware generations. It manages comp

    C
    Voir sur GitHub↗1,215
  • blueimp/jquery-file-uploadAvatar de blueimp

    blueimp/jQuery-File-Upload

    30,748Voir sur GitHub↗

    This project is a jQuery-based file upload widget that provides a browser interface for selecting and transferring files to a server. It functions as a chunked file uploader and a resumable upload client, enabling the transfer of large files by splitting them into smaller segments or continuing interrupted uploads from the last successfully sent byte. The tool includes a client-side image processor for validating, resizing, and generating previews of images before transmission. It also serves as a cross-domain upload tool, using various transport mechanisms to send files to different domains

    PHP
    Voir sur GitHub↗30,748
  • jomjol/ai-on-the-edge-deviceAvatar de jomjol

    jomjol/AI-on-the-edge-device

    8,461Voir sur GitHub↗

    AI-on-the-edge-device is an edge AI meter digitizer and computer vision image processor designed to convert images of analog and digital utility meters into numeric values. It functions as an IoT gateway that runs neural network inference locally on hardware to monitor water, power, and gas readings. The system is distinguished by its ability to handle both analog pointers and digital digits through custom-trained neural networks. It includes specialized tools for image alignment, region-of-interest extraction, and hardware-level lighting control to minimize glare on glass surfaces. To mainta

    C++
    Voir sur GitHub↗8,461
  • awesome-selfhosted/awesome-selfhostedAvatar de awesome-selfhosted

    awesome-selfhosted/awesome-selfhosted

    299,516Voir sur GitHub↗

    This project is a community-curated directory of open-source software designed for deployment in private server environments and home labs. It serves as a comprehensive resource for discovering independent, self-hosted alternatives to mainstream cloud services, enabling users to maintain full data ownership and control over their digital infrastructure. The directory is structured through a hierarchical taxonomy that organizes a vast collection of applications into logical categories, ranging from media management and data analytics to private communication and team productivity tools. It dis

    awesomeawesome-listcloud
    Voir sur GitHub↗299,516
  • bing-su/adetailerAvatar de Bing-su

    Bing-su/adetailer

    4,763Voir sur GitHub↗

    Adetailer is a Stable Diffusion inpainting extension and automated detail enhancer that identifies specific image regions to improve quality through targeted inpainting. It functions as an AI image masking tool that uses detection models to create precise masks for automated image editing. The system distinguishes itself by integrating structural guides, such as depth and pose, to constrain the inpainting process and maintain anatomical consistency. It also supports object-specific prompt assignment, allowing unique text instructions to be mapped to multiple detected objects within a single i

    Pythonsd-webuistable-diffusion-webuistable-diffusion-webui-plugin
    Voir sur GitHub↗4,763
  • philz1337x/clarity-upscalerAvatar de philz1337x

    philz1337x/clarity-upscaler

    5,079Voir sur GitHub↗

    Clarity-upscaler is an AI image upscaler and enhancement tool that uses deep learning models to increase image resolution and restore visual detail. It functions as a super-resolution inference engine that employs neural networks to predict missing pixels and synthesize high-frequency details from low-resolution sources. The project is delivered as a programmable API, allowing the integration of automated high-resolution image processing and sharpening into external applications and workflows. This interface enables the programmatic upscaling of images to create high-resolution assets. The s

    Pythonaiai-artimage-upscale
    Voir sur GitHub↗5,079
  • xinntao/real-esrganAvatar de xinntao

    xinntao/Real-ESRGAN

    35,798Voir sur GitHub↗

    Real-ESRGAN is a deep learning restoration pipeline designed to enhance low-resolution media and improve the visual quality of damaged photographs. It functions as a generative image upscaler that reconstructs high-resolution details from source inputs by utilizing neural networks trained to fill in missing information and remove noise. The project distinguishes itself as a blind super-resolution tool, meaning it improves image sharpness and fidelity without requiring prior knowledge of the specific degradation applied to the source. It employs high-order degradation modeling to address compl

    Pythonaminedenoiseesrgan
    Voir sur GitHub↗35,798
  • djdefrag/qualityscalerAvatar de Djdefrag

    Djdefrag/QualityScaler

    2,970Voir sur GitHub↗

    QualityScaler is an AI video upscaler and local media processing tool designed to increase the resolution and visual quality of videos and images. It uses deep learning models to enhance detail and remove noise, operating as an offline application that executes all computations on local hardware. The project functions as a GPU-accelerated media processor that distributes workloads across multiple graphics cards to increase rendering speed. To prevent memory overflow during high-resolution tasks, it employs a tiled image processing method that splits large assets into smaller sections. The sy

    Pythonamdanimecompression-artifact-reduction
    Voir sur GitHub↗2,970
  • nagadomi/waifu2xAvatar de nagadomi

    nagadomi/waifu2x

    28,144Voir sur GitHub↗

    This project is a command-line tool designed for image super-resolution and noise reduction, with a primary focus on anime-style illustrations. It utilizes convolutional neural network inference to reconstruct missing pixel data and remove digital artifacts, allowing users to upscale images and reduce noise either independently or in a single simultaneous processing pass. Beyond its core image restoration capabilities, the software provides a comprehensive suite for machine learning model training. Users can prepare custom datasets and optimize neural networks for specific restoration tasks,

    Luasuper-resolutiontorchwaifu2x
    Voir sur GitHub↗28,144
  • open-mmlab/mmagicAvatar de open-mmlab

    open-mmlab/mmagic

    7,434Voir sur GitHub↗

    mmagic is a multimodal training pipeline and framework for generative AI, focusing on visual synthesis and restoration. It provides the infrastructure to build and train models for tasks such as text-to-image and text-to-video generation, 3D-aware content synthesis, and high-fidelity image translation using diffusion models and generative adversarial networks. The project distinguishes itself through specialized capabilities for generative model personalization, including techniques for fine-tuning subjects and styles. It also supports advanced visual manipulations such as latent space interp

    Jupyter Notebookaigccomputer-visiondeep-learning
    Voir sur GitHub↗7,434
  • opencv/opencv_contribAvatar de opencv

    opencv/opencv_contrib

    10,116Voir sur GitHub↗

    This project is a collection of optional, community-contributed algorithms and specialized vision tools that extend the core OpenCV framework. It serves as a comprehensive library of extra modules for computer vision research, providing advanced toolsets for image processing, visual data analysis, and object detection. The library includes specialized frameworks for augmented reality tracking, biometric face recognition, and three-dimensional pose estimation. It provides distinct capabilities for identifying AR markers, tracking 3D object silhouettes, and performing neural network vulnerabili

    C++opencv
    Voir sur GitHub↗10,116
  • royshil/obs-backgroundremovalAvatar de royshil

    royshil/obs-backgroundremoval

    4,120Voir sur GitHub↗

    This project is a plugin for OBS Studio that uses neural networks to isolate subjects from backgrounds in real-time video streams. It functions as an AI video segmentation tool that predicts portrait masks to create virtual green-screen effects without the need for physical hardware. The software includes a real-time depth estimation filter that identifies scene depth to produce a blurred background while keeping the foreground subject in focus. It also provides low-light video enhancement to improve visibility and visual quality for portrait video captured in poorly lit environments. The pl

    C++background-segmentationcomputer-visionimage-segmentation
    Voir sur GitHub↗4,120
  • hlky/stable-diffusion-webuiAvatar de hlky

    hlky/stable-diffusion-webui

    7,880Voir sur GitHub↗

    Stable Diffusion Web UI is a browser-based interface for generating, editing, and upscaling images and videos using latent diffusion models. It functions as a text-to-image generator, an AI image editor, and a tool for increasing image resolution and clarity. The system includes capabilities for custom model training, specifically allowing the creation of textual inversion embeddings to teach a model new concepts and visual styles from user photos. It also provides tools for AI video production, generating short clips from text prompts. The software covers image-to-image transformation, imag

    Python
    Voir sur GitHub↗7,880
  • maplibre/maplibre-gl-jsAvatar de maplibre

    maplibre/maplibre-gl-js

    9,931Voir sur GitHub↗

    Maplibre GL JS is a WebGL map rendering engine and vector tile map library used to create interactive web maps. It serves as a web-based GIS visualization tool and an interactive map interface framework for rendering geographic data and vector tiles on web pages. The library provides capabilities for 3D terrain rendering and the integration of custom 3D content. It supports complex geospatial data visualization through the use of heatmaps, clusters, and 3D extrusions, while allowing for custom map styling and environmental effect customization. The system covers a broad range of functional a

    TypeScripthacktoberfestmaplibremaplibre-gl
    Voir sur GitHub↗9,931
  • microsoft/sanddanceAvatar de microsoft

    microsoft/SandDance

    7,138Voir sur GitHub↗

    SandDance is a hardware-accelerated visualization library and web-based data explorer designed for the interactive analysis of large, non-aggregated datasets. It functions as an interactive data visualization tool that renders complex datasets and intricate visuals within a browser. The project provides an embeddable data canvas consisting of web components and tags, allowing for the integration of full visualization interfaces and interactive charts into external web applications. It utilizes WebGL hardware acceleration to efficiently render large volumes of data as interactive graphics. Th

    TypeScriptdata-visualizationdeck-glmsr-vida
    Voir sur GitHub↗7,138
  • pixijs/pixi.jsAvatar de pixijs

    pixijs/pixi.js

    47,430Voir sur GitHub↗

    PixiJS is a hardware-accelerated 2D rendering engine and HTML5 canvas library. It functions as a web-based graphics engine that utilizes WebGL to draw interactive digital content, shapes, text, and images in the browser. The engine provides a specialized pipeline for high-performance 2D graphics, featuring a scene-graph hierarchy for organizing visual objects and a system for dynamic texture management. It includes capabilities for applying visual effects through masks, filters, and blend modes. The project covers broad functional areas including digital asset loading, user input processing

    TypeScript
    Voir sur GitHub↗47,430
  • pmndrs/react-three-fiberAvatar de pmndrs

    pmndrs/react-three-fiber

    31,172Voir sur GitHub↗

    This project is a React-based WebGL renderer that enables the creation of three-dimensional scenes using a declarative, component-driven architecture. It functions as a bridge between a component-based user interface library and a low-level graphics engine, allowing developers to manage lights, cameras, and geometry as standard elements within a reactive tree structure. The library distinguishes itself by treating the scene graph as a declarative hierarchy that synchronizes directly with application state and lifecycle events. It utilizes a custom reconciler to map component updates to object

    TypeScript3danimationfiber
    Voir sur GitHub↗31,172
  • devhyper/open-video-editorAvatar de devhyper

    devhyper/open-video-editor

    601Voir sur GitHub↗

    Open Video Editor is a privacy-focused utility designed for local video transcoding, editing, and optimization. By executing all operations directly on the user device, the application ensures that sensitive media files are never transmitted to external servers. The software leverages browser-based technologies to perform high-performance media manipulation. It utilizes WebAssembly to run compiled binaries within a sandboxed environment, offloading intensive decoding and encoding tasks to background threads to maintain interface responsiveness. The application processes media through a stream

    Kotlinandroidvideo-editing
    Voir sur GitHub↗601
  • journey-ad/gemini-watermark-removerAvatar de journey-ad

    journey-ad/gemini-watermark-remover

    2,841Voir sur GitHub↗

    This project is an AI watermark removal tool designed to restore pixels hidden by logos and masks in images and videos. It utilizes reverse alpha blending to eliminate watermarks and recover original media content. The tool operates as a local media processor, executing all restoration algorithms on the client device or within the browser to prevent files from being uploaded to remote servers. It further functions as a browser media interceptor via extensions and userscripts to automatically replace watermarked previews and downloads with cleaned versions. Capabilities include bulk media pro

    JavaScript
    Voir sur GitHub↗2,841
  • valvesoftware/protonAvatar de ValveSoftware

    ValveSoftware/Proton

    31,868Voir sur GitHub↗

    Proton is a compatibility layer designed to enable the execution of Windows-based software on non-Windows operating systems. It functions as a controlled runtime environment that maps proprietary system calls to native kernel functions and translates graphics API commands into open-standard compute shaders. This allows applications to run without requiring modifications to their original source code. The project distinguishes itself through a robust toolchain for reproducible builds, which utilizes containerized isolation to ensure consistent binary outputs across different development enviro

    C++proton
    Voir sur GitHub↗31,868
  • lllyasviel/stable-diffusion-webui-forgeAvatar de lllyasviel

    lllyasviel/stable-diffusion-webui-forge

    12,730Voir sur GitHub↗

    Stable Diffusion WebUI Forge is a web-based interface and inference engine designed for the generation of AI media. It functions as a platform for executing diffusion-based models, providing a centralized environment to manage image preprocessors, custom generation logic, and hardware-accelerated sampling. The project distinguishes itself through a neural network patching framework that allows for the modification of model layers and the application of spatial conditioning during inference. By injecting custom logic and adapters directly into the network, users can influence output behaviors

    Python
    Voir sur GitHub↗12,730
  • mackron/miniaudioAvatar de mackron

    mackron/miniaudio

    6,905Voir sur GitHub↗

    miniaudio is a single-file C audio library used for audio playback, capture, and hardware interfacing across multiple operating systems. It functions as an audio hardware abstraction layer, an audio processing engine, an audio synthesis engine, and a codec and resampler. The project implements a node-graph based system for routing digital audio signals, mixing, and 3D spatialization. It also includes a programmatic generator for noise patterns and basic waveforms used for sound creation and signal testing. The library covers digital signal processing, including audio format conversion and sa

    C
    Voir sur GitHub↗6,905
  • ophub/amlogic-s9xxx-openwrtAvatar de ophub

    ophub/amlogic-s9xxx-openwrt

    2,739Voir sur GitHub↗

    This project is an OpenWrt firmware builder and specialized Linux router distribution designed to repurpose Amlogic S9xxx series hardware into functional routers. It provides a hardware adaptation layer consisting of kernel modifications and drivers that enable the operating system to run on Amlogic ARM SoC devices. The project features an automated firmware pipeline for scheduling, building, and distributing custom images. It includes a device recovery toolkit for bootstrapping, flashing, and restoring factory images, and supports the conversion of devices previously running different mobile

    Shella311dallwinneramlogic
    Voir sur GitHub↗2,739
  • anvaka/map-of-githubAvatar de anvaka

    anvaka/map-of-github

    2,821Voir sur GitHub↗
    JavaScript
    Voir sur GitHub↗2,821
  • jellyfin/jellyfin-desktopAvatar de jellyfin

    jellyfin/jellyfin-desktop

    5,492Voir sur GitHub↗

    Jellyfin-desktop is a cross-platform media client for Windows, macOS, and Linux. It functions as a native wrapper that provides a standalone desktop shell for browsing and playing movies, music, and shows from a remote home media server. The application integrates Chromium with native operating system GPU drivers to provide hardware-accelerated video playback for high-resolution media streams. It utilizes an Electron-based runtime to render a web-based user interface within a native desktop environment. The client manages local file-system caching for session data and application assets to r

    C++jellyfinjellyfin-client
    Voir sur GitHub↗5,492