ThGaskin / NeuralABM
Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks
☆29Updated 4 months ago
Alternatives and similar repositories for NeuralABM:
Users that are interested in NeuralABM are comparing it to the libraries listed below
- Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.☆16Updated 10 months ago
- ☆37Updated 3 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated 9 months ago
- How to train a neural ODE for time series/weather forecasting☆38Updated 2 years ago
- Stochastic Optimization under Uncertainty in Python.☆35Updated 8 months ago
- Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.☆99Updated last week
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- Black-Box Inference foR Differentiable Simulators☆17Updated 5 months ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated last year
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆125Updated last week
- Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high perf…☆223Updated 2 years ago
- Data-driven dynamical systems toolbox.☆74Updated last week
- A flexible toolkit for simulation based inference in Julia☆19Updated 2 weeks ago
- ☆28Updated 6 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆74Updated 2 years ago
- A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems☆31Updated 3 years ago
- ☆29Updated 2 years ago
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆49Updated last year
- ☆103Updated this week
- An integrated demo: Gaussian processes for PDEs and inverse problems☆14Updated 3 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆46Updated 3 weeks ago
- A Review of Sensitivity Methods for Differential Equations☆30Updated 5 months ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆25Updated 11 months ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆34Updated 2 years ago
- Literature and light wrappers for gaussian process models.☆45Updated 3 years ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆26Updated 3 months ago
- Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents☆30Updated 2 years ago
- ☆8Updated last year
- Reduced-order modelling using an atlas of charts☆25Updated 2 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆36Updated 5 months ago