Search Results for "dynamics"
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Showing 40 open source projects for "dynamics"
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DynamicalSystems.jl
Award winning software library for nonlinear dynamics timeseries
DynamicalSystems.jl is an award-winning Julia software library for nonlinear dynamics and nonlinear time series analysis. To install DynamicalSystems.jl, run import Pkg; Pkg.add("DynamicalSystems"). To learn how to use it and see its contents visit the documentation, which you can either find online or build locally by running the docs/make.jl file. DynamicalSystems.jl is part of JuliaDynamics, an organization dedicated to creating high-quality scientific software. -
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Yampa
Functional Reactive Programming domain-specific language
Yampa is a Functional Reactive Programming (FRP) library for Haskell, specifically designed for modeling hybrid systems that involve both continuous and discrete time behaviors, such as games, simulations, robotics, and reactive systems. Based on the concept of signal functions, Yampa offers a declarative way to model time-varying values and their transformations, making it easier to manage complex time-based logic without resorting to imperative state management. It is grounded in strong... -
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NetworkX
Network analysis in Python
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Data structures for graphs, digraphs, and multigraphs. Many standard graph algorithms. Network structure and analysis measures. Generators for classic graphs, random graphs, and synthetic networks. Nodes can be "anything" (e.g., text, images, XML records). Edges can hold arbitrary data (e.g., weights, time-series). -
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FairChem
FAIR Chemistry's library of machine learning methods for chemistry
...Version 2 modernizes the stack with a cleaner core package and breaking changes relative to V1, focusing on simpler installs and a stable API surface for production and research. The centerpiece models (e.g., UMA variants) plug directly into the ASE ecosystem via a FAIRChem calculator, so users can run relaxations, molecular dynamics, spin-state energetics, and surface catalysis workflows with the same pretrained network by switching a task flag. Tasks span heterogeneous domains—catalysis (OC20-style), inorganic materials (OMat), molecules (OMol), MOFs (ODAC), and molecular crystals (OMC)—allowing one model family to serve many simulations. The README provides quick paths for pulling models (e.g., via Hugging Face access), then running energy/force predictions on GPU or CPU. -
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SwiftPamphletApp
SwiftUI + Combine + Swift Concurrency Aysnc/Await Actor + GitHub API
Dai Ming's development brochure, a living development manual. macOS app developed with SwiftUI + Combine + Swift Concurrency Aysnc/Await Actor + GitHub API. Pull the code. Directly compile and generate a manual program without Github function. If you want to use the Github function, you can add your GitHub Access Token to gitHubAccessToken in SwiftPamphletAppConfig.swift. Get the GitHub Access Token at Personal Access Tokens here. Remember to tick repo and user in scope. Both Xcode and macOS... -
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tsfresh
Automatic extraction of relevant features from time series
...Further, they can be used to build models that perform classification/regression tasks on the time series. Often the features give new insights into time series and their dynamics. -
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Arduino FOC
Arduino FOC for BLDC and Stepper motors
We live in very exciting times 😃! BLDC motors are entering the hobby community more and more and many great projects have already emerged leveraging their far superior dynamics and power capabilities. BLDC motors have numerous advantages over regular DC motors but they have one big disadvantage, the complexity of control. Even though it has become relatively easy to design and manufacture PCBs and create our own hardware solutions for driving BLDC motors the proper low-cost solutions are yet to come. One of the reasons for this is the apparent complexity of writing the BLDC driving algorithms, Field oriented control (FOC) being an example of one of the most efficient ones. ... -
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CFD Utilities
CFD-related Fortran libraries and applications
UPDATE: As of March 2023, the CFDTOOLS project has moved its public repository to NASA's official organization on GitHub: https://www.github.com/nasa/cfdtools While this repository will remain available, it will no longer receive updates or be monitored for issues. Please see the link above for latest releases and issue status. ---- The CFD Utility Software Library (previously known as the Aerodynamics Division Software Library at NASA Ames Research Center) contains nearly 30... -
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Transformers4Rec
Transformers4Rec is a flexible and efficient library
...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. User interests can also suffer from interest drift because preferences can change over time. Those challenges are addressed by the sequential recommendation task. -
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Neural Tangents
Fast and Easy Infinite Neural Networks in Python
...It lets researchers define architectures from familiar building blocks—convolutions, pooling, residual connections, and nonlinearities—and obtain not only the finite network but also the corresponding Gaussian Process (GP) kernel of its infinite-width limit. With a single specification, you can compute NNGP and NTK kernels, perform exact GP inference, and study training dynamics analytically for infinitely wide networks. The library closely mirrors JAX’s stax API while extending it to return a kernel_fn alongside init_fn and apply_fn, enabling drop-in workflows for kernel computation. Kernel evaluation is highly optimized for speed and memory, and computations can be automatically distributed across accelerators with near-linear scaling. -
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OptimTraj
A trajectory optimization library for Matlab
OptimTraj is a MATLAB toolbox for solving trajectory optimization problems. It supports direct collocation, shooting methods, and pseudospectral methods for finding optimal control inputs and system trajectories. It is useful for robotics, aerospace, biomechanics, and any domain requiring time-optimal or energy-optimal motion planning. -
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MOF-VR is a virtual reality program developed for Microsoft Windows and HTC Vive that allows for hypothetical metal-organic frameworks (MOFs) to be constructed and tested in molecular dynamics simulations of guest molecules.
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Makani
Makani was developed a commercial-scale airborne wind turbine
...Built primarily in C++ and Python, the codebase integrates real-time flight control, sensor fusion, aerodynamic modeling, and telemetry visualization. The project also provides comprehensive simulation environments for studying airborne wind power systems and flight dynamics. Although Makani’s commercial development concluded, the software remains valuable for researchers and engineers. -
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PMCGPU
Parallel simulators for Membrane Computing on the GPU
Membrane Computing is a new research area (within Natural Computing) that aims to provide computing devices abstracted from the functioning and structure of living cells. These devices are called P systems. The objective of this project (PMCGPU) is to bring together all the researchers working on the development of parallel simulators for P systems, specially those using the GPU (e.g. CUDA, OpenCL, etc). Other parallel platforms are also welcome (multicore and manycore, FPGAs,... -
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TF Quant Finance
High-performance TensorFlow library for quantitative finance
...It includes Bazel builds, tests, and example notebooks to accelerate learning and adoption in real workflows. With hardware acceleration and differentiable models, it enables modern techniques like gradient-based calibration and end-to-end learning of market dynamics. -
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Climate Modeling Courseware
Interactive lecture notes and assignments in Jupyter notebook format
A collection of interactive lecture notes and assignments for a graduate-level climate modeling course. ATM 623 Climate Modeling is an advanced graduate course on climate dynamics and climate modeling. The focus of the course is on the hands-on use of both simple and complex climate models to build an understanding of the processes that control the planetary energy budget. The course makes extensive use of Python code and the Jupyter notebook for reproducible, self-describing calculations and figures. This repository contains a collection of linked Jupyter notebooks with lecture notes, examples and assignments. ... -
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CFD Python
Sequence of Jupyter notebooks featuring the 12 Steps to Navier-Stokes
CFD Python, a.k.a. the 12 steps to Navier-Stokes, is a practical module for learning the foundations of Computational Fluid Dynamics (CFD) by coding solutions to the basic partial differential equations that describe the physics of fluid flow. The module was part of a course taught by Prof. Lorena Barba between 2009 and 2013 in the Mechanical Engineering department at Boston University (Prof. Barba since moved to George Washington University). The module assumes only basic programming knowledge (in any language) and some background in partial differential equations and fluid mechanics. ... -
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react-particle-effect-button
Bursting particle effect buttons for React
react-particle-effect-button is a React component library that provides buttons (or UI elements) with visually appealing particle explosion effects — for instance, on click or hover. Instead of static buttons, using this library lets you enhance user interactions with dynamic particle animations, giving a more lively and interactive UX. It’s ideal for use cases like “like” buttons, call-to-action buttons, or any UI control where you want a bit of flair. Because it’s built for React,... -
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DRAKON Editor
A free cross-platform editor for the DRAKON visual language.
...DRAKON Editor helps software architects, quality specialists and developers. Architects and quality assurers can express a high-level view of how their product works. DRAKON serves them to explain the dynamics of a software system. Software engineers can use DRAKON Editor to build algorithms in Go, Java, Processing.org, D, C#, C, C++, Python, Tcl, Javascript, Erlang and Lua. -
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PixelFlow
A Processing/Java library for high performance GPU-Computing (GLSL)
PixelFlow is a Processing library focused on advanced graphics and visual effects, offering an extensive suite of GPU-based tools for visual artists, researchers, and creative coders. It enables real-time simulation and rendering of complex effects such as fluid dynamics, reaction-diffusion systems, soft shadows, and more, all powered by GLSL shaders. Its modular structure allows for chaining and composing various visual effects easily, making it ideal for installations, performances, and visual experimentation. -
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Robotics Library
C++ framework for robot kinematics, dynamics, motion planning, control
The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control. It covers spatial vector algebra, multibody systems, hardware abstraction, path planning, collision detection, and visualization. -
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char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN)
...The project is designed for experimentation, offering tunable settings for depth, hidden size, dropout, sequence length, and sampling temperature to control creativity and coherence. It is frequently used as a learning project for understanding sequence modeling, recurrent training dynamics, and the practical details of text generation. -
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MDA
Molecular Dynamics Analyzer (MDA)
MDA is a 3D single-particle tracking software that explicitly addresses fluorescence microscopy experiments deep in living specimens. It is capable of minimizing the systematic error that occurs with astigmatism-based 3D techniques owing to the aberrations induced by the refractive index mismatch. In contrast to existing techniques, the method determines the aberration directly from the acquired 2D image stream by exploiting the inherent particle movement and the redundancy introduced by the... -
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Bio.B-Gen
Initial system (box) generator for biological molecular simulations
"Bio.B-Gen" is a command line tool to generate initial systems for biological molecular simulations. "Bio.B-Gen" was mainly designed to be used with the GROMACS molecular dynamics simulation package (http://www.gromacs.org). "Bio.B-Gen" depends on the GROMACS topology and force field information (.top and .itp data files) during the generation stage. "Bio.B-Gen" adds specified number of copies of a molecule to an existing configuration to a specified spacial domain inside the system, such as a sphere, cube, spherical shell, layer, etc. ... -
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The TErminology for the Description of DYnamics (TEDDY) project aims to provide an ontology for dynamical behaviours, observable dynamical phenomena, and control elements of bio-models and biological systems in Systems Biology and Synthetic Biology.
