Python library for arbitrary-precision floating-point arithmetic
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Updated
Sep 16, 2024 - Python
Python library for arbitrary-precision floating-point arithmetic
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
∫ Straightforward numerical integration of systems of ordinary differential equations
Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
A Python Framework for Modeling and Analysis of Signaling Systems
Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
A Python library for solving Initial Value Problems using various numerical integration methods.
Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"
ODE system solver using dG(q), time-discontinuous Galerkin with Lobatto basis.
A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiological models, IVPs, BVPs, and more.
🦋 hundun is a python library for the exploration of chaos.
Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24
Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-Dissipative Propagation by Anti-Symmetric Deep Graph Networks"; and "Non-Dissipative Propagation by Randomized Anti-Symmetric Deep Graph Networks"
Simulating and Optimising Dynamical Models in Python 3
Differents algorithms on python or matlab about numerical analysis - UNI
👾 numerical methods for physics: differentiation, ordinary, advection and hyperbolic partial differential eqs
A small Python library for fast ODE prototyping and visualization.
Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.
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