Code for the paper "Learning Differential Equations that are Easy to Solve"
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Updated
Nov 25, 2021 - Python
Code for the paper "Learning Differential Equations that are Easy to Solve"
Python library for ODE integration via Taylor's method and LLVM
Generalized Nonlinear Schrodringer Equation solver
[ICLR 2024] Official implementation of Bellman Optimal Stepsize Straightening of Flow-Matching Models
Flexible Inference for Predictive Coding Networks in JAX.
A machine learning boosted parallel-in-time differential equation solver framework.
Coupled Generalized Nonlinear Schrodringer Equation solver for birefringent fibers
Extend scipy.integrate with various methods for solve_ivp
ODE system solver using dG(q), time-discontinuous Galerkin with Lobatto basis.
Python solver for the Brownian, Stochastic, or Noisy Differential Equations
Simple basketball game created using Pygame and SciPy's ODE solver for Python on PC, and LibGDX on Android.
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Introduction to Numerical Methods / Ordinary Differential Equations
Works about Cucker-Smale model and its extensions. =Keywords: ODE, Runge-Kutta methods, SDE, Euler-Maruyama method, NumPy, Matplotlib
pyHamSys is a Python package for scientific computations involving Hamiltonian systems
Ordinary differential equation solver using the method of multiple shooting
Сustomized collection of ODE solvers
Python functions for numerical analysis: numerical schemes for ODEs, linear algebra, linear/non-linear/iterative solvers, interpolation, and regression analysis.
A novel three step network-based general ecosystem modeling framework
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