ImperialCollegeLondon / RCDS-object-oriented-pythonLinks
☆32Updated 3 weeks ago
Alternatives and similar repositories for RCDS-object-oriented-python
Users that are interested in RCDS-object-oriented-python are comparing it to the libraries listed below
Sorting:
- ☆34Updated last month
- ☆19Updated 4 months ago
- ☆12Updated 3 months ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆74Updated 6 months ago
- Imperial College London / Graduate School / Data Science / Data Processing with Python Pandas☆22Updated 7 months ago
- A workshop on writing good scientific/research code: reproducible, re-traceable, readable, extendable, and well-documented.☆272Updated last month
- Kernel methods for statistical modeling of dynamical systems☆24Updated 5 months ago
- Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection☆21Updated last month
- Getting started with scikit-learn for machine learning☆31Updated 6 months ago
- Numerically solve the Fokker-Planck equation in N dimensions☆91Updated last year
- A Review of Sensitivity Methods for Differential Equations☆31Updated 7 months ago
- Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.☆101Updated this week
- A hackable Lyapunov exponents calculator☆14Updated 5 years ago
- A software package for flexible HPC GPs☆16Updated this week
- Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks☆30Updated last month
- Nonlinear Dynamics: A concise introduction interlaced with code☆241Updated 11 months ago
- Python implementation of Underdamped Langevin Inference, a method to infer the dynamical equation of underdamped stochastic systems from …☆16Updated last week
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated last year
- ☆38Updated 3 years ago
- ☆21Updated 4 years ago
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆49Updated last year
- python Parameter EStimation TOolbox☆249Updated last month
- Material for a full course on applied nonlinear dynamics, nonlinear timeseries analysis, and complex systems, in Julia☆63Updated 10 months ago
- This Python package aims at providing tools to study stochastic processes: integrate SDEs, solve Fokker-Planck equations, sample rare eve…☆11Updated 4 years ago
- Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.☆18Updated last year
- Supplementary material for Cornell CVW on "Python for High Performance"☆26Updated 4 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆30Updated last year
- ☆36Updated last year
- An Introductory Fortran course delivered by the Imperial College London Early Career Researcher Institute.☆16Updated 3 months ago
- ReCoDe project to showcase an implementation of the Euler-Maruyama numerical method to solve Stochastic Differential Equations☆13Updated last year