Search Results for "dynamic modeling"
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Showing 69 open source projects for "dynamic modeling"
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Cesium
An open-source JavaScript library for world-class 3D globes and maps
CesiumJS is an open source JavaScript library for creating world-class 3D globes and maps with the best possible performance, precision, visual quality, and ease of use. Developers across industries, from aerospace to smart cities to drones, use CesiumJS to create interactive web apps for sharing dynamic geospatial data. Built on open formats, CesiumJS is designed for robust interoperability and scaling for massive datasets. CesiumJS is released under the Apache 2.0 license and is free for both... -
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BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics
BERTopic is a topic modeling technique that leverages transformers and c-TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions. BERTopic supports guided, supervised, semi-supervised, manual, long-document, hierarchical, class-based, dynamic, and online topic modeling. It even supports visualizations similar to LDAvis! Corresponding medium posts can be found here, here and here. For a more detailed overview, you can read... -
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PowerSystems.jl
Data structures in Julia to enable power systems analysis
The PowerSystems.jl package provides a rigorous data model using Julia structures to enable power systems analysis and modeling. In addition to stand-alone system analysis tools and data model building, the PowerSystems.jl package is used as the foundational data container for the PowerSimulations.jl and PowerSimulationsDynamics.jl packages. PowerSystems.jl supports a limited number of data file formats for parsing. -
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SuperCollider
Audio server, programming language, and IDE for sound synthesis
... synthesis, FM, granular synthesis, FFT, and physical modeling. You can write your own UGens in C++, and users have already contributed several hundred more to the sc3-plugins repository. sclang, an interpreted programming language. It is focused on sound, but not limited to any specific domain. sclang controls scsynth via Open Sound Control. You can use it for algorithmic composition and sequencing, finding new sound synthesis methods, connecting your app to external hardware. -
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PowerSimulationsDynamics.jl
Julia package to run Dynamic Power System simulations
PowerSimulationsDynamics.jl is a Julia package for power system modeling and simulation of Power Systems dynamics. -
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ChrysaLisp
Parallel OS, with GUI, Terminal, OO Assembler, Class libraries
ChrysaLisp is a 64-bit, MIMD, multi-CPU, multi-threaded, multi-core, multi-user parallel operating system with features such as a GUI, terminal, OO Assembler, class libraries, C-Script compiler, Lisp interpreter, debugger, profiler, vector font engine, and more. It supports MacOS, Windows, and Linux for x64, Riscv64, and Arm64 and eventually will move to bare metal. It also allows the modeling of various network topologies and the use of ChrysaLib hub nodes to join heterogeneous host networks... -
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Aerosolve
A machine learning package built for humans
Aerosolve is an open-source machine learning library developed by Airbnb, designed for interpretable and human-friendly modeling. Built around sparse, human-intuitive features (like geography, pricing), it supports feature quantization, interaction specification, and rule-based priors—enabling domain experts to contribute directly to model behavior. -
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DiffEqFlux.jl
Pre-built implicit layer architectures with O(1) backprop, GPUs
DiffEqFlux.jl is a Julia library that combines differential equations with neural networks, enabling the creation of neural differential equations (neural ODEs), universal differential equations, and physics-informed learning models. It serves as a bridge between the DifferentialEquations.jl and Flux.jl libraries, allowing for end-to-end differentiable simulations and model training in scientific machine learning. DiffEqFlux.jl is widely used for modeling dynamical systems with learnable... -
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EitherNet
A pluggable sealed API result type for modeling Retrofit responses
A pluggable sealed API result type for modeling Retrofit responses. By default, Retrofit uses exceptions to propagate any errors. This library leverages Kotlin sealed types to better model these responses with a type-safe single point of return and no exception handling needed. ApiResult has two sealed subtypes: Success and Failure. Success is typed to T with no error type and Failure is typed to E with no success type. Failure in turn is represented by four sealed subtypes of its own... -
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CBIG
Computational Brain Imaging Group tools
CBIG is a comprehensive toolkit maintained by Thomas Yeo’s Computational Brain Imaging Group containing tools for processing and analyzing neuroimaging data—including fMRI preprocessing pipelines, brain parcellation algorithms, mental disorder subtyping models, fMRI dynamic models, registrations between brain spaces, and phenotypic prediction algorithms. After cloning/downloading this repository, please see README inside setup directory to see instructions on how to set up your local... -
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ContextGem
ContextGem: Effortless LLM extraction from documents
ContextGem is an open-source framework designed to simplify the extraction of structured data and insights from documents using large language models (LLMs). It provides a flexible, intuitive API that minimizes boilerplate code, enabling developers to build complex extraction workflows efficiently. ContextGem supports various document formats and integrates with multiple LLM providers, making it a versatile tool for tasks like contract analysis, anomaly detection, and information retrieval. -
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Google Node.js Datastore
Node.js client for Google Cloud Datastore
Google’s Node.js Datastore client is a library for interacting with Google Cloud Datastore, a fully managed NoSQL database. It enables developers to store and query structured data in a scalable and serverless manner. The library provides an easy-to-use API for integrating Datastore into Node.js applications. -
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Discovery
Nepxion Discovery is a solution for Spring Cloud
... the old version has completed the work it is performing, and it needs to be judged by the business itself. Full-link custom gateways, service filters, and load balancing strategies trigger blue-green grayscale release. Full link local and remote, local and global non-parameterized rule-driven strategy. Full-link blue-green-gray release scheduling modeling and traffic detection. -
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DEVS-Suite Simulator
Component, CA, and CCA models; superdense time, DB repo, testing, etc.
...) with domain-specific models: NoC; SW/HW co-design, Service-Oriented Computing, cancer biology, Dynamic Structure, SOA DEVS, MIPS32 processors, and computer networks for education. Version: 7.0 [Jan `23], 6.1 [Apr. `21], 6 [Sep. `20] , 5 [Jul. `19], 4 [Mar. `18], 3 [Apr. `15], 2.1 [Feb. `09], 2 [`03] See CoSMoSim: https://acims.asu.edu/software/cosmos : hierarchical visual modeling, database model repository, families of models, statecharts, partial-code generation for XML/DEVS-Suite model -
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Kuwaiba Open Network Inventory and CMDB
Enterprise grade network inventory system and CMDB for telecom and IT
Kuwaiba is an enterprise grade network inventory system and CMDB for telecommunications and IT infrastructure. Some use cases can be seen here: * General Overview / Broadcast Radio & TV https://passionateaboutoss.com/oss-sandpit-resource-inventory-module/ * Modeling a 5G network in Kuwaiba https://passionateaboutoss.com/oss-sandpit-5g-network-inventory-prototype/ * Passive Optical Networks http://passionateaboutoss.com/oss-sandpit-gpon-network-inventory-prototype/ * IoT and Smart Cities... -
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Temporal Inference Engine
A real time inference engine for temporal logical specifications
A real time inference engine for temporal logical specifications, which is able to acquire, process and generate any binary or real signal through POSIX IPC, files or UNIX sockets. Specifications of signals and dynamic systems are represented as special graphs and executed in real time, with a predictable sampling time of few milliseconds. Real time signal processing, dynamic system control, state machine modeling and logical property verification are some fields of application of this software... -
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DiSyIde
IDE for modeling and simulating discrete systems
DiSyIde is a part of an Integrated Development Environment for modeling and simulating discrete systems. The application provides integration and a common control panel for DiSyMo (Discrete System Modeler) and DiSySi (Discrete System Simulator) applications, simplifying the workflow by providing a unified environment for modeling and simulation. This IDE provides a unified platform for both the graphical creation of system models (DiSyMo) and their dynamic simulation and control (DiSySi... -
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FOML is an expressive logic rule language that supports object modeling, analysis, and inference. It naturally supports model-level activities, such as constraints (extending UML diagrams), dynamic compositional modeling, analysis and reasoning about models, model testing, design pattern modeling, specification of Domain Specific Modeling Languages, and meta-modeling. FOML can reason about: 1. The model meta-data (meta-model level reasoning, or syntax reasoning) 2. Data level: reason about...
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DSGE.jl
Solve and estimate Dynamic Stochastic General Equilibrium models
DSGE.jl is a Julia package developed by the Federal Reserve Bank of New York for estimating and analyzing dynamic stochastic general equilibrium (DSGE) models. It provides tools for Bayesian estimation, filtering, forecasting, and model comparison, supporting both academic research and policy applications. DSGE.jl includes pre-configured models used by central banks and offers extensibility for custom macroeconomic modeling. -
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TRANSIMS is an integrated system of travel forecasting tools for modeling regional transport systems. For more information, visit http://code.google.com/p/transims/
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Nerfies
This is the code for Deformable Neural Radiance Fields
Nerfies demonstrates deformation-aware neural radiance fields that reconstruct and render dynamic, real-world scenes from casual video. Instead of assuming a static world, the method learns a canonical space plus a deformation field that maps changing poses or expressions back to that space during training. This lets the system generate photorealistic novel views of nonrigid subjects—faces, bodies, cloth—while preserving fine detail and consistent lighting. The training pipeline handles... -
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Stats With Julia Book
Collection of runnable Julia code examples for a statistics book
... theoretical concepts with practical implementation. Readers can explore how Julia supports statistical modeling, simulation, and computational methods in data science workflows. The included initialization script simplifies package setup, ensuring that learners can focus on running and modifying the code examples. This project bridges the gap between textbook learning and hands-on coding, making it a valuable educational tool for students, researchers, and practitioners. -
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Multi-Agent path planning in Python
Python implementation of a bunch of multi-robot path-planning
multi_agent_path_planning is a Python-based implementation of multi-agent pathfinding algorithms for coordinating multiple agents in shared environments without collisions. It is useful in robotics, warehouse automation, and gaming AI. -
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dycomodel
Dynamic Consumption Modeling
Dynamic Consumption Modeling to create the model of the feature consumption’s flow taking in consideration: the data from prior period of consumption (one time produced) specific model suggested by system and customized by customer everyday/periodically inventory quantity and to predict the remaining quantity of items set the reordering points (first point, with fixed quantity, for fixed dates) GitHub: https://github.com/surban1974/dycomodel -
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Quadrotor
Quadrotor control, path planning and trajectory optimization
This MATLAB-based repository contains implementations of quadrotor control systems, path planning, and trajectory optimization algorithms developed as part of an advanced robotics course at the University of Pennsylvania. It includes PD controllers, path planning via Dijkstra and A* algorithms, and trajectory optimization (minimum snap/acceleration). Run code: change trajectories in file control/runsim.m and run. See quadrotor_dynamics.pdf for dynamic modeling of the quadrotor. See control...
