Search Results for "self learning ai"
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Showing 13 open source projects for "self learning ai"
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Clarity AI Upscaler
AI Image Upscaler & Enhancer
Clarity AI Upscaler is an open-source AI image enhancement tool designed to increase the resolution and visual quality of images using modern generative techniques. The system uses deep learning models based on diffusion and other image generation methods to reconstruct high-resolution versions of low-resolution images while preserving important visual details. -
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satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
This page lists resources for performing deep learning on satellite imagery. To a lesser extent classical Machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities. If you find this work useful... -
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SCAIL
Towards Studio-Grade Character Animation via In-Context Learning of 3D
SCAIL is a project developed by the ZAI Organization, focusing on AI-driven research initiatives. While specific documentation about SCAIL’s exact goals and implementation is limited from the repository context alone, the project appears to be part of a collection of machine learning and AI research tools that facilitate scalable model development, evaluation, or application workflows. Given its listing alongside other ZAI projects like speech recognition and text-to-speech systems, SCAIL likely emphasizes scalable, composable AI learning frameworks that support researchers and practitioners in experimenting with learning algorithms, datasets, and model components. ... -
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IOPaint
Image inpainting tool powered by SOTA AI Model
IOPaint is a powerful open-source image editing tool focused on inpainting, outpainting, object removal, and general image manipulation driven by state-of-the-art AI models, delivering these capabilities through both local and hosted workflows. Designed to be fully self-hosted and flexible, IOPaint supports a variety of underlying generators and inpaint models — from LaMa erase networks to Stable Diffusion-based replace/object generation — giving users multiple ways to refine or reconstruct images by removing unwanted elements or expanding artwork beyond its original boundaries. ... -
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CSS Inspiration
Curated collection of interesting, creative, or inspiring CSS effects
CSS-Inspiration is a living gallery of modern CSS effects and components that highlights what’s possible with pure CSS and minimal markup. The collection ranges from micro-interactions and loaders to 3D transforms, complex backgrounds, hover states, and text effects, each presented as a small, self-contained demo. Source code is front and center, encouraging developers to study, copy, and tweak snippets for their own projects. Many examples lean on contemporary features—custom properties,... -
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TinyEngine
Tiny OpenGL Wrapper / 3D Engine in C++
TinyEngine is a small, self-contained OpenGL-based 3D engine written in C, designed for learning and prototyping graphics applications. It packs a lot of functionality into a compact codebase, making it ideal for exploring 3D rendering, game development, and shader programming without the overhead of larger engines. Despite its size, TinyEngine supports modern OpenGL features, texture mapping, lighting, and audio, providing a practical foundation for building lightweight 3D experiences. -
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GIMP ML
AI for GNU Image Manipulation Program
This repository introduces GIMP3-ML, a set of Python plugins for the widely popular GNU Image Manipulation Program (GIMP). It enables the use of recent advances in computer vision to the conventional image editing pipeline. Applications from deep learning such as monocular depth estimation, semantic segmentation, mask generative adversarial networks, image super-resolution, de-noising and coloring have been incorporated with GIMP through Python-based plugins. Additionally, operations on... -
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Image Super-Resolution (ISR)
Super-scale your images and run experiments with Residual Dense
The goal of this project is to upscale and improve the quality of low-resolution images. This project contains Keras implementations of different Residual Dense Networks for Single Image Super-Resolution (ISR) as well as scripts to train these networks using content and adversarial loss components. Docker scripts and Google Colab notebooks are available to carry training and prediction. Also, we provide scripts to facilitate training on the cloud with AWS and Nvidia-docker with only a few... -
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PRMLT
Matlab code of machine learning algorithms in book PRML
This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). -
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Exposure
Learning infinite-resolution image processing with GAN and RL
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model. ACM Transactions on Graphics (presented at SIGGRAPH 2018) Exposure is originally designed for RAW photos, which assumes 12+ bit color depth and linear "RGB" color space (or whatever we get after demosaicing). jpg and png images typically have only 8-bit color depth (except 16-bit pngs) and the lack of information (dynamic range/activation resolution) may... -
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Mondrian
Web-based vector graphics editor
...The interface favors direct manipulation—click, drag, resize, recolor—over menus and tool overload, so newcomers can produce striking designs quickly. Under the hood, it uses standard web tech to render shapes and support undo/redo, export, and sharing. Because it’s self-contained and open, it doubles as a learning resource for anyone curious about building interactive graphics editors in the browser. Designers and students use it for quick studies, poster drafts, and experiments with rhythm, contrast, and proportion. -
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Skinner
Special Effects with Skinned Mesh in Unity
Skinner is a collection of real-time special effects for Unity that use vertices of an animating skinned mesh as emission points. Instead of duplicating mesh data on the CPU, it employs a replacement shader to stream vertex positions into GPU-friendly buffers, conserving memory and CPU cycles. With those GPU-side buffers, Skinner can drive effects like trails, particles, or geometry that react to the underlying skinned animation in sophisticated ways. The approach enables complex, performant... -
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Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
...It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1- Vision: It can access web cams, imaging source industrial cameras for manuel settings and advanced issues. Studies on accesing Leapmotion and Kinect is still under-development. 2- Machine learning: It uses Weka Software tool and some personel coded ML algorithms 3- CMatrix: Special matrix library called as CMatrix meaning Cezeri Maztrix Class. ...
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