Search Results for "construct" - Page 5
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Showing 432 open source projects for "construct"
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iSmart Home
An open smart home project.
We utilize technologies such as web-based APP, 2.4G wireless data transceiver, STC micro-controller, various sensors (temperature/humidity/brightness/air pressure/PIR/etc.), to construct an integrated solution of modern home automation. The system provides features such as remotely control your home appliances, lights, etc. Also, various sensors are supported to sense your home environment, and act on real time status accordingly. For instance, if there are people home, and light is dark, the system will automatically turn on the lamps. ... -
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Optimizer_sovkov
Constructing and optimizing general mathematical and physical models
...It is written in the Matlab algorithmic language and is executed in the Matlab environment with partial functionality in Octave. The convenient visual interface and the detailed manuals are provided. The main benefit of the package is its capability to construct models of any level of complexity in a block-by-block manner. Elementary model blocks can be collected in libraries, and we have already written many such library programs. Many of these programs are already available along with the main package. Currently, the main focus of these is computational quantum mechanics, analysis and simulation of molecular spectra, and general-purpose approximants. ... -
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WordPress FAQ Plugin with ChatGPT
Set up a smart FAQ section with auto-search and ChatGPT answers
Construct an intuitive FAQ area on your WordPress site to provide support for visitor inquiries. This WordPress FAQ plugin boasts a dynamic search bar enabled by AJAX, complete with autocomplete options, to streamline the process of finding FAQs or exploring the entire question list. The plugin also includes a feature that permits visitors to contribute questions, which are seamlessly answered through ChatGPT integration. -
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illness index
illness_index A Computer Program of a Medical Textbook.
A computer scientist has attempted to program a textbook of British general practice (primary care) medicine, that is, Hodgkin K (1978) "Towards Earlier Diagnosis....", 4th Edition, Churchill Livingstone. If a patient types presenting findings (such as headache, cough), the program prompts the user for expansion/denial of appropriate findings, in order to construct a list of patient findings. The program also calculates a list of likely diseases, which the user can use the web to find out more about. The program has more than 600 diseases and 1000 findings. Brought to you by Kit Free Software 2024 Ltd. Keywords - disease, health, healthcare, illnesses, illnessindex, illness_index. -
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Candid PDF Table
CandidPDFTable – Deterministic TCPDF Table Builder
CandidPDFTable (Candid PDF Table Builder) is a deterministic, colspan-aware table builder designed specifically for TCPDF. It provides a clean and predictable API to construct HTML tables for TCPDF::writeHTML() using explicit, cell-owned borders and late-stage layout computation. The library is built for programmatic table generation where precise control over rows, columns, colspans, borders, and serial numbering is essential. Building complex tables directly in TCPDF becomes difficult once HTML is rendered. ... -
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Kisekae UltraKiss
Kisekae UltraKiss is a full featured integrated development environmen
UltraKiss is a computer program that implements the Kisekae Set system, KiSS, a Japanese graphics system originally developed to facilitate costume changes on virtual dolls. UltraKiss was developed to help artists build their KiSS sets. It is a full featured viewer for all KiSS dolls, games, and visual applications. It is also a complete graphical development environment for creating KiSS applications. It fully implements the FKiSS event driven programming language up to and including... -
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SageMaker Spark
A Spark library for Amazon SageMaker
SageMaker Spark is an open-source Spark library for Amazon SageMaker. With SageMaker Spark you construct Spark ML Pipelines using Amazon SageMaker stages. These pipelines interleave native Spark ML stages and stages that interact with SageMaker training and model hosting. With SageMaker Spark, you can train on Amazon SageMaker from Spark DataFrames using Amazon-provided ML algorithms like K-Means clustering or XGBoost, and make predictions on DataFrames against SageMaker endpoints hosting your trained models, and, if you have your own ML algorithms built into SageMaker compatible Docker containers, you can use SageMaker Spark to train and infer on DataFrames with your own algorithms -- all at Spark scale. ... -
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com-hfg
java library for XML, HTML, or SVG generation + bioinformatics classes
The com.hfg (hairyfatguy.com) library is a collection of utility classes that make it easy to construct XML, HTML, XHTML, or SVG in an object-oriented way from within your Java application or webapp. It also contains other IO utilities and bioinformatics classes for phylogenetic trees, taxonomy, and multi-chain proteins. Requires JDK1.8. -
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ZomeBuild
Editor for Zometool models
...It’s not important where you store the files on your PC as long the directory structure that is unpacked is preserved. Zomebuild offers an intuitive interface, enabling users to construct and explore intricate geometric models with ease. With it, you can explore the beauty of the regular polihedra, like icosahedron and dodecahedron, build projections of 4-dimension models, or just have fun and build whatever geometric model you like! Zomebuild is not created or supported by Zometool Inc., the creators of Zometool. -
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Classnames
A simple javascript utility for conditionally joining classNames
Classnames is a minimal JavaScript utility that helps you construct CSS class strings based on conditional logic. Instead of manually concatenating strings, developers can pass any combination of strings, arrays, or objects, and the library will output a clean, space-separated class list. When you provide an object, the keys represent class names and the boolean values determine whether each class should be included in the final string. -
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MMEditing
MMEditing is a low-level vision toolbox based on PyTorch
...MMEditing is a low-level vision toolbox based on PyTorch, supporting super-resolution, inpainting, matting, video interpolation, etc. We decompose the editing framework into different components and one can easily construct a customized editor framework by combining different modules. The toolbox directly supports popular and contemporary inpainting, matting, super-resolution and generation tasks. The toolbox provides state-of-the-art methods in inpainting/matting/super-resolution/generation. Note that MMSR has been merged into this repo, as a part of MMEditing. ... -
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RAGs
Build ChatGPT over your data, all with natural language
RAGs is an open-source application designed to simplify the creation of retrieval-augmented generation pipelines through an interactive interface. Built with Streamlit and powered by the LlamaIndex ecosystem, the tool allows users to construct AI assistants that answer questions using their own data sources. Instead of requiring extensive programming knowledge, the application allows users to configure and build a RAG system using natural language instructions. The system automatically generates pipeline configurations that control how documents are retrieved, processed, and summarized before being used by a language model to generate responses. ... -
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ccgsl
Use Gnu Scientific Library as if it were writtem in C++.
The ccgsl provides simple C++ wrappers for the GNU Scientific Library. It uses Java-like shared-pointer classes in place of structs to avoid direct memory allocation/freeing and to work better with the STL. It lets you construct functions for optimisation, root-finding and the like from C++ member functions, making it easier to integrate with existing C++ code. It also provides C++ exceptions. -
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Tiler
Build images with images
Tiler is an open-source tool that creates complex images by assembling many smaller images or shapes into a mosaic-style composition. Unlike traditional mosaic generators that rely on simple square grids, Tiler supports tiles with multiple shapes and sizes, allowing far more creative and flexible visual patterns. The software analyzes a target image and reconstructs it using a collection of smaller tile images or shapes that collectively approximate the original picture. This approach... -
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MMAction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
...MMAction2 is an open-source toolbox for video understanding based on PyTorch. It is a part of the OpenMMLab project. Modular design: We decompose a video understanding framework into different components. One can easily construct a customized video understanding framework by combining different modules. Support four major video understanding tasks: MMAction2 implements various algorithms for multiple video understanding tasks, including action recognition, action localization, Spatio-temporal action detection, and skeleton-based action detection. We support 27 different algorithms and 20 different datasets for the four major tasks. ... -
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ffmpeg-go
Golang binding for ffmpeg
ffmpeg-go is a Go language binding for FFmpeg that allows developers to construct and execute complex multimedia processing pipelines using a fluent and programmatic API. It acts as a wrapper around FFmpeg command-line functionality, translating chained function calls into executable FFmpeg commands. The library enables tasks such as transcoding, cutting, filtering, and streaming media while maintaining a clean and readable syntax. -
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Promises
Promises is a modern framework that provides synchronization
Promises is a modern framework that provides a synchronization construct for Objective-C and Swift to facilitate writing asynchronous code. Typically, async operations take a completion handler in a form of a block, which is called to provide either a result or an error. To perform more than one async operation, you have to nest the second one inside the completion block of the first one, and also handle an error gracefully. -
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MMOCR
OpenMMLab Text Detection, Recognition and Understanding Toolbox
...The modular design of MMOCR enables users to define their own optimizers, data preprocessors, and model components such as backbones, necks and heads as well as losses. Please refer to Getting Started for how to construct a customized model. The toolbox provides a comprehensive set of utilities which can help users assess the performance of models. It includes visualizers which allow visualization of images, ground truths as well as predicted bounding boxes, and a validation tool for evaluating checkpoints. -
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GraphQL in Go
An implementation of GraphQL for Go / Golang
An implementation of GraphQL in Go. Supports queries, mutations & subscriptions. Middleware to handle GraphQL queries through HTTP requests. Lib to construct a graphql-go server supporting react-relay. Barebones starting point for a Relay application with Golang GraphQL server. DataLoader implementation in Go. -
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EvidentialGene
Evidence Directed Gene Construction for Eukaryotes
EvidentialGene is a genome informatics project, "Evidence Directed Gene Construction for Eukaryotes", to construct high quality, accurate gene sets for animals and plants, developed by Don Gilbert at Indiana University, see http://arthropods.eugenes.org/EvidentialGene/ Construction refers to the combination of classical gene prediction, and more recent gene assembly (de-novo and genome-assisted) methods. The basic Evigene methods involve using available best-of-breed gene prediction and assembly software, combining all evidence for genes, from expressed sequences, genome assembly sequences, related species protein sequences, and any other, to annotate and score gene constructions. ... -
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UI Kitten
React Native UI library based on Eva Design System
...Unlock the true power of the theming system by switching between Light and Dark themes in the runtime. Drive diversity by creating as many themes as needed without changing the source code of the components. Construct stunning and consistent interfaces using atomic components by following the Eva Design System specifications. -
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Learning Prompt
Free prompt engineering online course
Learning-Prompt is a curated repository of prompts, techniques, and instructional patterns designed to help people construct better prompts for AI systems, including generation, reasoning, and debugging tasks. It collects examples of effective prompt formats, chains of thought, strategy scaffolds, and comparative methods that help yield consistent, high-quality results. The project also includes meta-guidance: reflections on prompt failures, tips for prompt tuning, ways to mitigate model bias or misinterpretation, and how to adapt prompts for different AI capabilities. ... -
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RenderPass
Easily construct fragment shader graphs
A shader can further process the outputs of zero, one or more input images, which in turn can be the result of previous render passes/ -
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OK
Welcome to the future of programming languages
OK? is a modern, dynamically typed programming language created with a strong opinion: to remove needless complexity and help programmers write code that matters. It eliminates many common language features (e.g., ternary operators) in favour of a consistent, minimal syntax: for example it uses only switch statements for control flow and has only one comparison operator. OK? also treats errors as plain values (strings/arrays) and removes inheritance in favour of what it calls “evolution over... -
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MMTracking
OpenMMLab Video Perception Toolbox
...We are the first open-source toolbox that unifies versatile video perception tasks include video object detection, multiple object tracking, single object tracking and video instance segmentation. We decompose the video perception framework into different components and one can easily construct a customized method by combining different modules. MMTracking interacts with other OpenMMLab projects. It is built upon MMDetection that we can capitalize any detector only through modifying the configs. All operations run on GPUs. The training and inference speeds are faster than or comparable to other implementations. We reproduce state-of-the-art models and some of them even outperform the official implementations.