Search Results for "art"
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24 projects for "art" with 2 filters applied:
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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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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ART ASCII Library
ASCII art library for Python
ASCII art is also known as "computer text art". It involves the smart placement of typed special characters or letters to make a visual shape that is spread over multiple lines of text. ART is a Python lib for text converting to ASCII art fancy. -
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Stipple Effect
Stipple Effect is a pixel art editor that supports animation
Stipple Effect is a cross-platform pixel art editor that emphasizes scripting and automation. It offers standard raster graphics editing features alongside tools specifically designed for pixel art creation, making it suitable for game developers and digital artists. Its scripting capabilities allow for efficient batch operations and workflow customization. -
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Anomalib
An anomaly detection library comprising state-of-the-art algorithms
Anomalib is an open-source deep learning library focused on anomaly detection and localization tasks, collecting state-of-the-art algorithms and tools under one modular framework. It provides implementations of leading anomaly detection methods drawn from current research, as well as a full set of utilities for training, evaluating, benchmarking, and deploying these models on both public and private datasets. Anomalib emphasizes flexibility and reproducibility: you can use its simple APIs to plug in custom models, track experiments, tune hyperparameters, and generate visualizations that highlight anomalous regions. ... -
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Map of GitHub
Inspirational Mapping
...Users can zoom in to explore hotspots like major metropolitan areas or zoom out to see global patterns of activity, making it both a data analytics tool and a piece of data art. The map highlights where developers live, where projects originate, and how open-source participation varies around the world, offering insights into the geography of technology culture and innovation. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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CasADi
CasADi is a symbolic framework for numeric optimization
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT, etc. It can be used in C++, Python, or Matlab/Octave. CasADi's backbone is a symbolic framework implementing forward and reverse modes of AD on expression graphs to construct gradients, large-and-sparse Jacobians, and Hessians. These expression graphs, encapsulated in Function objects, can be evaluated in a virtual machine or exported to stand-alone C code. ... -
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Generative AI Examples
Generative AI Examples is a collection of GenAI examples
Efficiently integrate secure, performant, and cost-effective Generative AI workflows into business value. Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness. -
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Runeset
Fast UTF-8 codepoint sets for Zig
...The design is based on an implicit data structure2, which uses @popCount and bit masking to check membership quickly, with minimal branching, and without having to decode the UTF-8 into another format (for instance, a codepoint). This design is original, in the sense that I invented it. There may be prior art, it's remarkably difficult to search for "UTF-8 character sets" and find papers on set data structures, so I can't say with high confidence that it's truly novel; in a sense, it's an obvious extension of the widespread practice of using a pair of u64 bitmasks to detect a set of ASCII values. What I can say is: it's effective. The RuneSet struct is just a slice of u64, offering a few variations on set membership tests, depending on how confident you are that the string it's testing is valid UTF-8, and what you would like the test to do in the event that it isn't. -
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AngleSharp
The ultimate angle brackets parser library parsing HTML5, MathML, SVG
AngleSharp follows the W3C specifications and gives you the same results as state of the art browsers. Besides the official API AngleSharp adds some useful extension methods on top. This makes working with the DOM convenient. AngleSharp integrates everything you need to explore and mutate the DOM tree. Node retrieval is straight forward by using powerful CSS query selectors. The CSS queries in AngleSharp are super fast and very simple to use. -
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Dlib is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.
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Transformers4Rec
Transformers4Rec is a flexible and efficient library
...The library works as a bridge between natural language processing (NLP) and recommender systems (RecSys) by integrating with one of the most popular NLP frameworks, Hugging Face Transformers (HF). Transformers4Rec makes state-of-the-art transformer architectures available for RecSys researchers and industry practitioners. Traditional recommendation algorithms usually ignore the temporal dynamics and the sequence of interactions when trying to model user behavior. Generally, the next user interaction is related to the sequence of the user's previous choices. In some cases, it might be a repeated purchase or song play. ... -
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learn2learn
A PyTorch Library for Meta-learning Research
Learn2Learn is a PyTorch-based library focused on meta-learning and few-shot learning research. It provides reusable components and meta-learning algorithms, making it easier to build, train, and evaluate models that can quickly adapt to new tasks with minimal data. Learn2Learn is widely used in research for tasks such as few-shot classification, reinforcement learning, and optimization. -
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Style2Paints
Sketch + style = paints
style2paints is an AI-assisted colorization system aimed primarily at line art and manga, turning monochrome drawings into colored illustrations with minimal manual effort. It combines automatic color inference with user guidance, letting artists nudge the model using sparse color hints, masks, or style references. The pipeline focuses on preserving line quality while spreading coherent colors and shading across regions that are often ambiguous to purely automatic methods. -
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ml-surveys
Survey papers summarizing advances in deep learning, NLP, CV, graphs
The ml-surveys repository is a broad, maintainable overview of survey papers across many subfields of machine learning — including deep learning, NLP, computer vision, graph ML, reinforcement learning, recommendation systems, embeddings, meta-learning, and more. Instead of diving into code or experiments, this repo gathers authoritative survey and review articles, summarizing the state-of-the-art, trends, challenges, and directions within each subdomain. For someone trying to get up to speed with a new ML subfield — say graph neural networks or meta-learning — ml-surveys offers a curated reading list of foundational and recent works, helping map the landscape quickly. It is particularly useful for researchers, data scientists, or engineers who want conceptual clarity about where a field stands, what problems remain, and what techniques are most established. -
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Facexlib
FaceXlib aims at providing ready-to-use face-related functions
facexlib is a PyTorch-based library providing ready-to-use face-related functions, including detection, alignment, recognition, and more. It integrates state-of-the-art open-source methods for various face processing tasks. -
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PyTorchVideo
A deep learning library for video understanding research
...It is tightly integrated with PyTorch and PyTorch Lightning, offering flexible APIs for building and training spatiotemporal networks. The library includes efficient implementations of state-of-the-art architectures such as SlowFast, X3D, and MViT, optimized for both research prototyping and production inference. It supports video I/O pipelines, data augmentation, distributed training, and mixed precision computation for large-scale experiments. PyTorchVideo also connects seamlessly with other Meta AI tools such as Detectron2 and PyTorch3D for multimodal video analysis. ... -
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ASCII Art
Real-Time ASCII Art Rendering Library
A header-only, C/C++ library that lets you transform an input image or video frame into printable ASCII characters in real-time using a single decision tree. ASCII Art is a single header, C/C++ library developed by PixLab and based on the work of Nenad Markus that let you transform an input image or video frame into printable ASCII characters at real-time using a single decision tree. Real-time performance is achieved by using pixel intensity comparison inside the internal nodes of the tree. -
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Top Deep Learning Projects
A list of popular github projects related to deep learning
...By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly discover reputable and well-maintained repositories. This way one can survey state-of-the-art projects, find learning resources, or pick stable libraries for production — without manually sifting through hundreds of repos. The repository is openly licensed under MIT, making it easy to fork, extend, or contribute updates (e.g. adding newer projects or reordering by recent popularity). -
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MITIE
MITIE: library and tools for information extraction
This project provides free (even for commercial use) state-of-the-art information extraction tools. The current release includes tools for performing named entity extraction and binary relation detection as well as tools for training custom extractors and relation detectors. MITIE is built on top of dlib, a high-performance machine-learning library[1], MITIE makes use of several state-of-the-art techniques including the use of distributional word embeddings[2] and Structural Support Vector Machines[3]. ... -
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LibRec
Leading Java Library for Recommender Systems
LibRec is a Java library for recommender systems (Java version 1.7 or higher required). It implements a suit of state-of-the-art recommendation algorithms, aiming to resolve two classic recommendation tasks: rating prediction and item ranking. -
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Ruby-processing
Bridge between the Processing creative-coding framework and Ruby
Ruby-processing is a bridge between the Processing creative-coding framework (originally Java-based) and the Ruby language, created to let developers and artists write Processing sketches using Ruby syntax. It enables the well-known graphics, animation, interaction and sketching patterns of Processing in a Ruby environment, which can be appealing to those who prefer Ruby’s syntax or already live in the Ruby ecosystem. Though the project is now deprecated and newer alternatives exist, it... -
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CRFasRNN
Semantic image segmentation method described in the ICCV 2015 paper
CRF-RNN is a deep neural architecture that integrates fully connected Conditional Random Fields (CRFs) with Convolutional Neural Networks (CNNs) by reformulating mean-field CRF inference as a Recurrent Neural Network. This fusion enables end-to-end training via backpropagation for semantic image segmentation tasks, eliminating the need for separate, offline post-processing steps. Our work allows computers to recognize objects in images, what is distinctive about our work is that we also... -
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graphics-resources
A list of graphic programming resources
graphics-resources is a curated collection of resources, tools, and references for creative coding and real-time graphics development, aimed at developers working with visual systems, generative art, and interactive media. Rather than being a traditional codebase, it functions as a knowledge hub that aggregates tutorials, libraries, research papers, and inspirational materials across multiple domains such as WebGL, shaders, animation, and design systems. The repository is structured to help developers discover high-quality tools and deepen their understanding of graphics programming ecosystems. ... -
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PHP database access class for PostgreSQL, offering convenient state-of-the-art interface to PostgreSQL, combined with automatic provision for every trick in the book to make database access and queries as fast as possible.
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HexMUD
A generic C++ MUD server featuring a strategy-style hexagon map
...While not specifically a MUD project, this project's basic concept has merged into another that can be found here: https://github.com/nicrohobak/Toolbox Along with an additional, related project of extreme interest: https://github.com/nicrohobak/AnsiGL ------------------------------------------------------------ HexMUD aims to be a fully-featured, game-system agnostic MUD server with a centrally focused feature of an added top-down hexagon-based map (dynamically generated and drawn in ANSI/ASCII art) giving a basic visual representation of your immediate surroundings in addition to traditional descriptions. Many (most?) MUD servers hard-code a specific game system, or a specific game setting within their code, but HexMUD strives to be as generic as possible in this area, allowing each separate administrator to easily build a custom code base while also gaining access to all of the core features HexMUD provides.
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