DART
DART: Dynamic Animation and Robotics Toolkit - Published in JOSS (2018)
Gala
Gala: A Python package for galactic dynamics - Published in JOSS (2017)
pyomeca
pyomeca: An Open-Source Framework for Biomechanical Analysis - Published in JOSS (2020)
TSE
TSE: A triple stellar evolution code - Published in JOSS (2024)
pinocchio
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
awesome-implicit-nerf-robotics
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites
https://github.com/ami-iit/jaxsim
A differentiable physics engine and multibody dynamics library for control and robot learning.
Pybotics
Pybotics: Python Toolbox for Robotics - Published in JOSS (2019)
suanpan
🧮 An Open Source, Parallel and Heterogeneous Finite Element Analysis Framework
https://github.com/bio-phys/capriqorn
Capriqorn: CAlculation of P(R) and I(Q) Of macRomolecules in solutioN
https://github.com/alan-turing-institute/causal-cyber-defence
This repository contains glue-code necessary to run dynamic Causal Bayesian optimisation within the Yawning Titan cyber-simulation environment.
https://github.com/andyphilips/dynardl
Stata module to dynamically simulate autoregressive distributed lag (ARDL) models.
anglecam
A deep learning-based method to infer leaf angle variation from photographs.
climate2weather
This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation"
C4DYNAMICS: The Python framework for state-space modeling and algorithm development
C4DYNAMICS: The Python framework for state-space modeling and algorithm development - Published in JOSS (2025)
MetaboDynamics
MetaboDynamics: a framework of probabilistic models to analyze longitudinal metabolomics data
TimeseriesPrediction
Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis
stochastic_finite-difference_model
R software for fitting and simulating the stochastic finite-difference (SF) model (Pridham and Rutenberg 2023).
https://github.com/btschwertfeger/random-systems-website
Website to run and visualize different processes that are based on randomness.