Search Results for "learning" - Page 2
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Showing 109 open source projects for "learning"
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OpenGL Tutorials
Learning Modern 3D Graphics Programming
...It provides practical examples and explanations, guiding users through the fundamentals of OpenGL, including shader programming, buffer management, and rendering pipelines. The tutorials are structured to build upon each other, offering a comprehensive learning experience for both beginners and experienced developers aiming to deepen their understanding of OpenGL. -
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UCanCode Visio 2023
UCanCode Visio 2023, the best replace of Microsoft Visio
...Charts - Charts and graphs are visual representations of information. They are useful for documenting facts, drawing plans and capturing ideas, as well as enhancing communication, learning and productivity. UCCVisio is a set of 100% free drawing software provided by UCanCode software company! -
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CSS Animation 101
Learn how to bring animation to your web projects
CSS Animation 101 is a tutorial resource that teaches the fundamentals of motion on the web using only CSS. It starts with core building blocks—transitions, transforms, and keyframes—and then layers in timing functions, delays, and choreography to create more expressive sequences. The material stresses clarity and maintainability, showing how to structure styles so animations are easy to reason about and adjust. Throughout, examples demonstrate practical use cases like button feedback,... -
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DeepMind Lab
A customizable 3D platform for agent-based AI research
DeepMind Lab is a 3D learning environment based on id Software's Quake III Arena via ioquake3 and other open source software. DeepMind Lab provides a suite of challenging 3D navigation and puzzle-solving tasks for learning agents. Its primary purpose is to act as a testbed for research in artificial intelligence, especially deep reinforcement learning. If you use DeepMind Lab in your research and would like to cite the DeepMind Lab environment, we suggest you cite the DeepMind Lab paper. ... -
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Surface Defect Detection Dataset Papers
Constantly summarizing open source dataset and critical papers
...A reasonable imaging scheme helps to obtain images with uniform illumination and clearly reflect the surface defects of the object. In recent years, many defect detection methods based on deep learning have also been widely used in various industrial scenarios. -
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GIMP ML
AI for GNU Image Manipulation Program
...In addition, GIMP-ML also aims to bring the benefits of using deep learning networks used for computer vision tasks to routine image processing workflows. -
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Spectral Python
A python module for hyperspectral image processing
Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more. -
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VCTRenderer
A real time global illumination solution that achieves glossy surfaces
...The renderer demonstrates cutting-edge rendering techniques aimed at achieving realistic lighting effects without precomputed data, making it ideal for games and interactive applications that need real-time performance with physically plausible lighting. It provides a clean implementation of voxelization and cone tracing in a modern graphics API, making it both a learning tool and a high-performance rendering solution. -
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Intro to CSS 3D transforms
Introduction to CSS 3D transforms
...The repository is particularly useful for frontend developers looking to enhance user interfaces with dynamic visual effects. It also demonstrates how to combine multiple transformations to create more complex interactions. The project serves as both a learning resource and a reference for implementing 3D effects in web design. Overall, 3dtransforms highlights the potential of CSS for creating engaging and interactive user experiences. -
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PureCSS Francine
HTML/CSS drawing in the style of an 18th-century oil painting
purecss-francine is a remarkable artistic and technical project created by Cyan Harlow, demonstrating how complex digital illustrations can be achieved using only HTML and CSS, without any JavaScript or images. The artwork, titled Francine, is a detailed portrait crafted purely through CSS shapes, gradients, and layering techniques. It showcases the expressive potential of front-end technologies and serves as both an educational example and a piece of digital art. The project emphasizes... -
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Simple 2D
Simple, open-source 2D graphics for everyone
...Developers can use Simple2D to quickly prototype ideas or build lightweight applications in C with full access to rendering, events, and asset management. It is especially well-suited for learning environments and small indie projects. -
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magicCss
CSS3 whimsy, single label implements various graphics
...By emphasizing minimal markup and clever styling, it encourages performance-conscious and elegant front-end design practices. Overall, magicCss functions as both a learning resource and a creative playground for modern CSS experimentation. -
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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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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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TenorSpace.js
Neural network 3D visualization framework
TensorSpace is a neural network 3D visualization framework built using TensorFlow.js, Three.js and Tween.js. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, and generate a 3D visualization in the browser. From TensorSpace, it is intuitive to learn what the model structure is, how the model is trained and how the model predicts the results based on the intermediate information. After preprocessing the model, TensorSpace supports the visualization of pre-trained models from TensorFlow, Keras and TensorFlow.js. ... -
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Effeckt.css
A Performant Transitions and Animations Library
...Each effect is isolated, documented, and demoed, allowing designers to copy just what they need rather than dragging in a monolithic framework. By standardizing names and behaviors, it helps teams keep motion design consistent across a product while remaining easy to theme. The library doubled as a learning resource during the rise of CSS animations, showing how to achieve polished interactions without heavy JavaScript. -
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KABOOM! in 180 lines of bare C++
A brief computer graphics / rendering course
...in 180 lines of bare C++ project is a compact educational ray tracing engine implemented in approximately 180 lines of C++ code, designed to teach the fundamentals of computer graphics. It serves as a hands-on learning tool rather than a production-ready renderer, focusing on clarity and simplicity over realism. The project demonstrates how basic rendering techniques such as ray-object intersection, lighting, and shading can be implemented from scratch. It intentionally avoids external libraries to encourage a deeper understanding of underlying algorithms and data structures. ... -
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react-imgpro
Image Processing Component for React
...I was working on a project last month which involved a lot of image processing and I'd to rely on third party libraries. But before using them directly, I'd to learn different concepts in gl (shaders) and then try to implement them in React. The difficult part was not learning but it was the verbosity, boilerplate code and redundancy introduced by the libraries in the codebase. It was getting difficult to organize all the things. And React's component-based model was perfect for hiding all the implementation details in a component. -
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css3-
CSS3 implements various 3D && 3D planetary animation effects
...The project is structured as a reference-style showcase where each example isolates a specific technique, making it easy to study and adapt into real projects. Its educational value lies in revealing non-obvious CSS behaviors and encouraging deeper mastery of the styling layer. Overall, css3- serves as a comprehensive learning and inspiration resource for developers seeking to master advanced CSS3 techniques. -
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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 lead to suboptimal results such as posterization. ... -
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OpenPR stands for Open Pattern Recognition project and is intended to be an open source library for algorithms of image processing, computer vision, natural language processing, pattern recognition, machine learning and the related fields.
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House3D
A Realistic and Rich 3D Environment
House3D is a large-scale virtual 3D simulation environment designed to support research in embodied AI, reinforcement learning, and vision-language navigation. It provides more than 45,000 richly annotated indoor scenes sourced from the SUNCG dataset, covering diverse architectural layouts such as studios, multi-floor homes, and spaces with detailed furnishings and room types. Each environment includes fully labeled 3D objects, allowing agents to perceive and interact with their surroundings through multiple sensory modalities including RGB images, depth maps, semantic segmentation masks, and top-down maps. ... -
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Accord.NET Framework
Machine learning, computer vision, statistics and computing for .NET
...The Accord.NET project provides machine learning, statistics, artificial intelligence, computer vision and image processing methods to .NET. It can be used on Microsoft Windows, Xamarin, Unity3D, Windows Store applications, Linux or mobile. After merging with the AForge.NET project, the framework now offers a unified API for learning/training machine learning models that is both easy to use and extensible. -
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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...
