ImperialCollegeLondon / RCDS-object-oriented-pythonLinks
☆35Updated 3 months 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:
- Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks☆32Updated last week
- A workshop on writing good scientific/research code: reproducible, re-traceable, readable, extendable, and well-documented.☆280Updated 9 months ago
- ☆20Updated 5 months ago
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆53Updated 2 years ago
- High-Performance Scientific Modeling with Julia and SciML☆149Updated 3 weeks ago
- Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.☆18Updated last month
- Python solver for the Brownian, Stochastic, or Noisy Differential Equations☆12Updated 7 years ago
- Nonlinear Dynamics: A concise introduction interlaced with code☆256Updated 7 months ago
- Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)☆63Updated 2 months ago
- Various implementations of the classical SIR model in Julia☆213Updated 2 months ago
- Short course on dimension reduction for AMSI☆35Updated 3 years ago
- R-package for building and fitting Bayesian ODE models in Stan☆29Updated last year
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆75Updated last year
- ☆36Updated 3 weeks ago
- workshops☆12Updated 2 years ago
- Numerically solve the Fokker-Planck equation in N dimensions☆97Updated 3 months ago
- Advanced LTCC course in StatisticsThis course will provide an overview of Monte Carlo methods when used for problems in Statistics. After…☆33Updated 3 years ago
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆174Updated 5 months ago
- An introductory 101 series to get to know the power of Julialang☆128Updated 2 years ago
- Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high perf…☆236Updated 3 years ago
- The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN☆72Updated last month
- Quasi-Monte Carlo point generators, automatic transformations, and adaptive stopping criteria☆78Updated last week
- A short course on Julia and open-source software development☆322Updated 2 years ago
- MIT_18.S097☆126Updated 2 years ago
- Kernel methods for statistical modeling of dynamical systems☆26Updated 3 months ago
- A software package for flexible HPC GPs☆15Updated last week
- Nonlinear and Stochastic Optimization. https://ndcbe.github.io/CBE60499/☆17Updated 2 years ago
- python Parameter EStimation TOolbox☆266Updated last week
- Probabilistic Inference on Noisy Time Series☆241Updated this week
- Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection☆24Updated 8 months ago