Search Results for "model driven" - Page 3
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Showing 172 open source projects for "model driven"
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Stock prediction deep neural learning
Predicting stock prices using a TensorFlow LSTM
Predicting stock prices can be a challenging task as it often does not follow any specific pattern. However, deep neural learning can be used to identify patterns through machine learning. One of the most effective techniques for series forecasting is using LSTM (long short-term memory) networks, which are a type of recurrent neural network (RNN) capable of remembering information over a long period of time. This makes them extremely useful for predicting stock prices. Predicting stock... -
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windsurf.vim
Free, ultrafast Copilot alternative for Vim and Neovim
...The plugin supports major programming languages and allows you to trigger completions as you type—especially after comments or partial code constructs. Because it is designed to integrate with Vim’s editing model, it offers suggestions in-line and leverages virtual text or inline indicators when supported. Many developers using Neovim look to this plugin as a way to bring modern AI-powered code-assistance into their terminal-centric workflow. -
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PydanticAI
Agent Framework / shim to use Pydantic with LLMs
When I first found FastAPI, I got it immediately. I was excited to find something so innovative and ergonomic built on Pydantic. Virtually every Agent Framework and LLM library in Python uses Pydantic, but when we began to use LLMs in Pydantic Logfire, I couldn't find anything that gave me the same feeling. PydanticAI is a Python Agent Framework designed to make it less painful to build production-grade applications with Generative AI. Built by the team behind Pydantic (the validation layer... -
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Bend
A massively parallel, high-level programming language
Bend is an interactive programming environment (REPL) built on top of the Kotlin language, designed to allow users to explore, experiment, and learn Kotlin in a live, feedback-driven manner. The tool lets you define variables, functions, or values at the prompt and iteratively refine them—immediately seeing output and types—while preserving state across commands. It emphasizes discoverability and experimentation: users can inspect functions, call them on sample inputs, and evolve logic... -
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QP Real-Time Event Frameworks & Tools
Real-Time Event Frameworks based on active objects & state machines
QP real-time event frameworks (RTEFs) provide lightweight, modern, event-driven architecture based on asynchronous Active Objects (Actors) and Hierarchical State Machines. The matching QM model-based design tool and other host-based tools complement the QP frameworks by supporting graphical modeling, code generation, software tracing, and unit testing for event-driven embedded software. Visit https://www.state-machine.com for more information. -
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DAE Tools Project
Object-oriented equation-based modelling and optimisation software
...It is not a modelling language nor a collection of numerical libraries but rather a higher level structure – an architectural design of interdependent software components providing an API for: - Model development/specification - Activities on developed models, such as simulation, optimisation, sensitivity analysis and parameter estimation - Processing of the results, such as plotting and exporting to various file formats - Report generation - Code generation, co-simulation and model exchange The following class of problems can be solved by DAE Tools: - Initial value problems of implicit form - Index-1 DAE systems - With lumped or distributed parameters - Steady-state or dynamic - Continuous with some elements of event-driven systems -
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applied-ml
Papers & tech blogs by companies sharing their work on data science
The applied-ml repository is a rich, curated collection of papers, technical articles, and case-study blog posts about how machine learning (ML) and data-driven systems are applied in real production environments by major companies. Instead of focusing solely on theoretical ML research, this repo highlights industry-scale challenges: data collection, quality, infrastructure, feature stores, model serving, monitoring, scalability, and how ML is embedded in product workflows. It acts as a living library for practitioners who want to learn from real-world successes and failures — giving insight into how large organizations structure their data pipelines, how they manage ML lifecycle at scale, and what architectural or operational tradeoffs they made. ... -
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NanoH5 (tsl2nano)
java bean / database driven zero code application framework
NanoH5 (or FullRelation) is a fullstack UI implementation framework providing a model driven design (MDA). Build a complete html5 application through a given class- or database-model without coding (coding APIs are available). -
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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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D3
Bring data to life with SVG, Canvas and HTML
...D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation. D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction. ... -
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NodeMCU
Lua based interactive firmware for ESP8266, ESP8285 and ESP32
NodeMCU is an open source Lua-based firmware for the ESP8266 WiFi SOC from Espressif and uses an on-module flash-based SPIFFS file system. NodeMCU is implemented in C and is layered on the Espressif NON-OS SDK. The firmware was initially developed as a companion project to the popular ESP8266-based NodeMCU development modules, but the project is now community-supported, and the firmware can now be run on any ESP module. -
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Habfuzz
A command-line tool for data-driven fuzzy modelling
Input 1 - A training dataset (multiple observations) of up to four variables (predictors) against one (response variable) Input 2 - A test dataset (multiple observations) of the same four variables with unknown response variable Output - Calculation of the response variable for each test observation using fuzzy logic or fuzzy rule-based Bayesian algorithms HABFUZZ is a habitat model, which can be used in ecohydraulic modelling applications for the calculation of the instream habitat... -
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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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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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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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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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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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The Common Event Driven Application Runtime (CEDAR) is set of software to design, code generate and run, event driven applications. This formalism is an extension of the Shlaer–Mellor method and executable UML, facilitating deployment of domains across multiple hosts, using networked bridges to process and pass events between them. Core technologies: XML, Python, Qt/PySide.
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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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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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ML for Trading
Code for machine learning for algorithmic trading, 2nd edition
On over 800 pages, this revised and expanded 2nd edition demonstrates how ML can add value to algorithmic trading through a broad range of applications. Organized in four parts and 24 chapters, it covers the end-to-end workflow from data sourcing and model development to strategy backtesting and evaluation. Covers key aspects of data sourcing, financial feature engineering, and portfolio management. The design and evaluation of long-short strategies based on a broad range of ML algorithms,... -
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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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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.
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Albedo
A recommender system for discovering GitHub repos
Albedo is an open-source recommender system aimed at helping developers discover GitHub repositories by learning from activity signals. It treats repositories and developers as a graph of interactions and applies large-scale matrix factorization to model affinities, with Apache Spark providing the distributed data processing. The project focuses on implicit feedback—stars, watches, and other engagement metrics—so it can build useful recommendations without explicit ratings. A reproducible setup and Makefile-driven workflow streamline tasks like spinning up services, loading datasets, training models, and generating candidate lists. ...
