Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
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Updated
May 25, 2024 - Python
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
A package for the sparse identification of nonlinear dynamical systems from data
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
Python package for solving partial differential equations using finite differences.
A Python Package For System Identification Using NARMAX Models
Code for the paper "Learning Differential Equations that are Easy to Solve"
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch
Tensor Train Toolbox
A Python framework for designing, testing, and validating complex systems through modelling and simulation.
Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
If you use python and mysql, maybe one day you want it. base on pure mysql-connector ,auto manage connection and support 【no pool connect 、fixed 、dynamic pool】. Now used inBaidu poi off-line calculation system . ------------------- Open your favorite Terminal and run the modlue
A general-purpose Python package for Koopman theory using deep learning.
Modred main repository
Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.
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