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Showing 11 open source projects for "reduce"
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1
QualityScaler
Image/video AI upscaler app (BSRGAN)
Qualityscaler is a Windows app that uses BSRGAN Artificial Intelligence to enhance, enlarge and reduce noise in photographs and videos. QualityScaler is completely written in Python, from the backend to the front end. Image/list of images upscale. Video upscale. Drag&drop files [image / multiple images/video] Automatic image tiling and merging to avoid gpu VRAM limitation. Resize image/video before upscaling. Multiple Gpu support. -
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nodecast-tv
A self-hosted web application that lets you stream Live TV
...The project supports common playlist formats like Xtream Codes and M3U, offering fast channel switching, interactive EPG guides, and structured metadata displays for large catalogs without lag. Software architecture is optimized for smooth browsing through thousands of channels or VOD items using techniques like virtual scrolling and batch rendering to reduce client-side load. It includes user management with roles, favorites systems, and optional Single Sign-On (OIDC) support for enterprise or shared deployments. nodecast-tv also takes advantage of hardware acceleration where available and intelligently handles stream transcoding or remuxing to match browser compatibility, balancing quality and performance. -
3
new-pac
Scientific Internet access
...It also includes how-to materials for self-hosting and basic operational hygiene so users can better manage their own connectivity. The goal is practical empowerment—reduce friction, centralize information, and provide options suited to different networks and risk tolerances. -
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RisingWave
RisingWave: the next-generation streaming database in the cloud
RisingWave is a cloud-native streaming database that uses SQL as the interface. It is designed to reduce the complexity and cost of building real-time applications. RisingWave consumes streaming data, performs continuous queries, and updates results dynamically. As a database system, RisingWave maintains results in its own storage so that users can access data efficiently. RisingWave accepts data from sources like Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and materialized CDC sources. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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5
formidable
The most used, flexible, fast and streaming parser
...The maintainers of formidable and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the Open Source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. Of course, with Koa v1, v2 or future v3 the things are very similar. You can use formidable manually as or through the koa-better-body package which is using formidable under the hood and support more features and different request bodies, check its documentation for more info. -
6
Zip-Ada
A standalone, portable Ada library for .zip archives
Zip-Ada is a library for .zip archives. Full sources are in Ada and are unconditionally portable. Input and output can be any stream (file, buffer,...) for archive creation as well as data extraction. Task safe and endian-neutral. More information on: http://unzip-ada.sf.net Alire crate: https://alire.ada.dev/crates/zipada Mirror: https://github.com/zertovitch/zip-ada/ -
7
Apprentice Video
it's a video player, also works for music and pictures
...This player provides several performance options to enable adequate video playback on slow hardware: * skip loop filter * skip non-reference frames * skip color converter * reduce playback speed to accommodate slow video decoding This player supports playback of HDR video on non-HDR displays: * colorspace transform to BT.709 colorspace via an auto-generated 3D LUT * tone mapping from HDR to SDR (BT. 709) This player supports playback of MPEG-TS files containing multiple programs, timeline anomalies, and codec changes. ... -
8
AI Upscaler for Blender
AI Upscaler for Blender using Real-ESRGAN
Blender add-on to dramatically reduce render times using the Real-ESRGAN upscaler. Rendering an HD image in Blender takes 37 minutes. Upscaling can render a similar quality image in 5 mins total. Any PC or laptop can now do 3D rendering. 4k images can be rendered in the time it would take to render HD 1080p images. HD 1080p images can be rendered in record time on low-end hardware. -
9
Twitch Drops Miner
An app that allows you to AFK mine timed Twitch drops
...It works by periodically fetching stream metadata to advance Drops progress, while maintaining a websocket connection to monitor which channels are online, offline, or changing status. The app is designed to reduce manual babysitting by switching channels automatically when a stream goes offline or when a higher-priority opportunity becomes available. It supports prioritisation logic, including game priority and exclusion lists, so users can focus on specific campaigns and avoid unwanted categories. The tool also discovers new drop campaigns based on linked accounts and validates streams using tags and campaign checks to avoid wasting time watching streams that cannot earn rewards. -
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10
VSGAN
VapourSynth Single Image Super-Resolution Generative Adversarial
...Transform, Filter, or Enhance your input video, or the VSGAN result with VapourSynth, a Script-based NLE. You can chain models or re-run the model twice-over (or more). Have low VRAM? Don’t worry! The Network will be applied in quadrants of the image to reduce up-front VRAM usage. You can use any RGB video input, including float32 (e.g., RGBS) inputs. Using VapourSynth you can pass a Video directly to VSGAN, without any frame extraction needed. Any edit you make in the VapourSynth script with or without VSGAN can be re-used for any other video. VSGAN is released under the MIT License, ensuring it will stay free, with the ability to be used commercially. -
11
Black Hole Cortex
Sphere surface layers of visual cortex approach maximum info density
...What we think our eyes see, the imagination, is the densest and smallest layer. SphereSurfaces outside it recursively have more neurons, more surface area, but less density since it has to eventually dimension-reduce to high level ideas, like there are 10000 Wikipedia page names that cover most parts of the world. We can think of Wikipedia as a layer above our brains, a global SphereSurface of large surface area (a cortex layered on billions of minds) and small (10000 most important pages) density.
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