Search Results for "model driven" - Page 13
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Showing 483 open source projects for "model driven"
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AI-Agent-Host
The AI Agent Host is a module-based development environment.
The AI Agent Host integrates several advanced technologies and offers a unique combination of features for the development of language model-driven applications. The AI Agent Host is a module-based environment designed to facilitate rapid experimentation and testing. It includes a docker-compose configuration with QuestDB, Grafana, Code-Server and Nginx. The AI Agent Host provides a seamless interface for managing and querying data, visualizing results, and coding in real-time. ... -
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OGB
Benchmark datasets, data loaders, and evaluators for graph machine
The Open Graph Benchmark (OGB) is a collection of realistic, large-scale, and diverse benchmark datasets for machine learning on graphs. OGB datasets are automatically downloaded, processed, and split using the OGB Data Loader. The model performance can be evaluated using the OGB Evaluator in a unified manner. OGB is a community-driven initiative in active development. We expect the benchmark datasets to evolve. OGB provides a diverse set of challenging and realistic benchmark datasets that are of varying sizes and cover a variety graph machine learning tasks, including prediction of node, link, and graph properties. ... -
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DreamBooth Dataset
Text-to-Image Diffusion Models for Subject-Driven Generation
DreamBooth is a research project and dataset repository representing the official assets for the DreamBooth technique, a method for fine-tuning text-to-image generative diffusion models so they can generate specific, personalized subjects from just a handful of example images. Originally developed by researchers at Google Research and Boston University, DreamBooth works by associating a unique identifier token with a small set of photos of a person, object, or style, enabling the model to... -
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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... -
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ML Visuals
ML Visuals contains figures and templates which you can reuse
ML Visuals is an open-source project that provides a collection of reusable diagrams, templates, and visual resources designed to improve communication in machine learning research and education. The repository contains professional-quality figures that illustrate machine learning concepts such as neural networks, optimization methods, model architectures, and common deep learning techniques. These visuals are intended to help researchers, educators, and students create clearer... -
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Work Case Toolkit 0.4 beta 1
Support variant based Java program execution, adapted to support MDE.
...Our main goal is to define an API that we can use embedded into any Java application to support dynamic execution based on variant flows. The variants are controlled by a graph decision using features diagrams relationships. The project was originally planned in 2005 to support Model Driven Architecture OMG approach, focusing specially on the management of architectural changes and models transformers. The main goal of the program is to design transformation chains based on features diagram variants. The model transformers orchestration is obtained by using Features Diagrams and Transformation Diagrams (a feature that must be re-implemented to support of a Java drawing API). ... -
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ImPromptu
Domain Agnostic Prompts for Savvy Professionals
A community-driven wiki of sorts full of your favorite prompts for various Large Language Models such as ChatGPT, GPT-3, MidJourney, and soon (Google's Bard) and more! Choose a subject area you are interested in, and click the link below to go to the page with prompts for that subject. If that page is empty, then you can help by adding prompts to that page. If you are not sure how to do that, you can read the contributing guidelines. If you are feeling like having your mind melt into magic... -
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AndroidAsync
Asynchronous socket, http(s) (client+server) and websocket library
AndroidAsync is a low-level asynchronous networking library for Android. It provides raw sockets, HTTP and HTTPS client and server functionality, and WebSocket support. The library is based on Java NIO rather than a thread-heavy model, which makes it suitable for event-driven network communication. It is intended for developers who need direct protocol-level control instead of a higher-level request wrapper. The project also serves as the foundation for Ion, the author’s higher-level Android networking and image loading library. AndroidAsync is most useful for Android developers building custom networking layers, servers, streaming behavior, or WebSocket-based features. -
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Mojoc
A cross-platform, open-source, pure C game engine for mobile game
...In platform-independent code, Mojoc uses only the standard C library, no dependence on third-party libraries. Mojoc uses an extremely lightweight OOC (Object Oriented C) programming model. Mojoc application architecture is based on components, state-machines and is message-driven. Mojoc has been used for a cross-platform Android and IOS game. The samples will show all aspects of the Mojoc features. Each platform will provide native building project for native platform editor. For example Android provides AndroidStudio project, IOS provides XCode project. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Apache TVM
TVM Documentation in Chinese Simplified
tvm-cn is a community-driven project that provides Chinese documentation for the Apache TVM deep learning compiler stack. Apache TVM is an open-source system designed to optimize and deploy machine learning models efficiently across different hardware platforms such as CPUs, GPUs, and ARM devices. The goal of the repository is to centralize translated learning materials and technical documentation so that Chinese-speaking developers can study the TVM ecosystem more easily. The project... -
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Talking Head Anime from a Single Image
Demo for the "Talking Head Anime from a Single Image"
Talking Head Anime from a Single Image is a machine learning project that demonstrates how neural networks can animate anime characters using only a single input image. The system generates animated facial expressions and movements by applying pose transformations to a static image of an anime character. The underlying model uses deep learning techniques to predict how different facial features and body parts should move based on pose parameters or input signals. This allows the software to... -
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Redwood Database
A highly-configurable, distributed, realtime database
...It combines React for frontend, GraphQL for data fetching, and Prisma for database management, all in a unified developer experience. Redwood is designed for building scalable SaaS products, startups, and internal tools rapidly, with a focus on convention over configuration. Its CLI-driven development model, authentication integrations, and deployment support make it ideal for startups and solo devs looking to ship fast. -
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Unified Code Generation
Open-source code generator for Simulink/Stateflow
...Some of the strengths of UCGN: - Clearly readable source-code - Separation of functionality and parameters ("tunable parameters") - Robust data storage (compile-time static structures in favor of pointer run-time constructs) - Clear software architecture, direct correspondence to the model architecture - Separation of reusable library code - Simplicity and uniformity of software interfaces (for testing etc.) The following features are supported by the Simulink/UCGN - Discrete single-rate Simulink models and libraries - Block library with 50+ standard Simulink blocks - Periodic, condition-driven Stateflow charts (including flowgraphs, loops) - Structured data types through bus objects - Simulink native enumer -
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go-study-index
Go language learning materials index
go-study-index is a comprehensive, community-maintained index of Go learning resources and communities, primarily oriented toward Chinese-speaking developers. It was created because a previous index of resources had gone out of date for over three years, and the author wanted a fresher, living catalog that others could update via fork and pull request. The README is structured into sections for communities, navigation sites, learning materials, tools, cloud platforms, newsletters, videos,... -
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Machine Learning Financial Laboratory
MlFinLab helps portfolio managers and traders
...The project provides a large collection of tools that implement techniques from academic research on financial machine learning. It covers the full lifecycle of developing data-driven trading strategies, including data preprocessing, feature engineering, labeling techniques, model training, and performance evaluation. Many of the algorithms implemented in the library are based on concepts introduced in advanced quantitative finance literature and peer-reviewed research. The library also includes tools for constructing specialized financial data structures, generating predictive features, and evaluating trading strategies through backtesting. ... -
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Actors.jl
Concurrent computing in Julia based on the Actor Model
Concurrent computing in Julia based on the Actor Model. Actors make(s) concurrency easy to understand and reason about and integrate(s) well with Julia's multi-threading and distributed computing. It provides an API for writing reactive applications. -
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Abot
Fast and flexible C# framework for building customizable web crawlers
...Abot follows a modular architecture that allows developers to customize nearly every stage of the crawl process by implementing or replacing core interfaces. Abot exposes an event-driven model that enables applications to react to crawling events such as page completion or crawl restrictions. It also provides configuration options that control crawling behavior including concurrency limits, crawl delays, and request parameters. Designed to be lightweight and dependency-free, Abot runs without requiring external services or databases, making it easy to integrate. -
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jiant
jiant is an nlp toolkit
Jiant is a multitask NLP framework for fine-tuning transformer-based models on multiple natural language understanding (NLU) tasks. -
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Pytorch Points 3D
Pytorch framework for doing deep learning on point clouds
...We aim to build a tool that can be used for benchmarking SOTA models, while also allowing practitioners to efficiently pursue research into point cloud analysis, with the end goal of building models which can be applied to real-life applications. Task driven implementation with dynamic model and dataset resolution from arguments. Core implementation of common components for point cloud deep learning - greatly simplifying the creation of new models. 4 Base Convolution base classes to simplify the implementation of new convolutions. Each base class supports a different data format. -
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PyBitBanger
Python controlled hardware.
With the demise of the parallel port, a simple way for a Python script to control external hardware has disappeared. The goal of this project is to use relatively simple hardware like an Arduino Nano and the Microchip MCP23S17 port expander as an extensible bit banger. Ideally, all hardware should be leaded and breadboard friendly for easy project prototyping. The ELEGOO Nano is used as an USB RS232 to SPI controller to control the port expander. This fits nicely on a breadboard and has... -
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FLOGO
Simplify building efficient & modern serverless functions and apps
Project Flogo is an ultra-light, Go-based open source ecosystem for building event-driven apps. Event-driven, you say? Yup, the notion of triggers and actions are leveraged to process incoming events. An action, a common interface, exposes key capabilities such as application integration, stream processing, etc. All capabilities within the Flogo Ecosystem have a few things in common, they all process events (in a manner suitable for the specific purpose) and they all implement the action... -
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Evolutility-UI-jQuery
Model-driven Web UI for CRUD using REST or localStorage
Evolutility-UI-jQuery provides a set of generic Backbone Views to browse, edit, filter, export and chart Backbone models and collections of different structures. With it you can make web applications by configuring views with metadata instead of hand-coding templates, Javascript and CSS. -
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Render32
Command-line video compositing and audio mixing tools
Render is a program for creating composite BMP image sequences. These images are composited as specified in a text configuration file. Mixer is a program for mixing film soundtracks. It accepts input files in WAV format and outputs a mixed soundtrack in WAV format. Each input channel can contain one or more audio files that are edited and mixed using a cue sheet. The maximum number of channels is a compile-time parameter. -
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ASP.NET Core Docs
Documentation for ASP.NET Core
...Develop with reusable UI components that can take advantage of WebAssembly for near-native performance. Develop RESTful HTTP services with ASP.NET Core web API. Develop page-focused web apps with a clean separation of concerns. Develop web apps using the Model-View-Controller design pattern. Add real-time functionality to your web app, enable server-side code to push content instantly. Develop contract-first, high-performance services with gRPC in ASP.NET Core. Create data-driven web apps in ASP.NET Core. Explore overviews, tutorials, fundamental concepts, architecture and API reference for previous ASP.NET framework versions. -
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The Whole Platform is a technology for engineering the production of software. We provide an Eclipse based Language Workbench for developing, manipulating and transforming languages using a model driven approach.
