25 Open source projects that are alternatives of or similar to sunode

Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner

Python notebooks for Numerical Analysis

Automatic differentiation + optimization

A concise C++17 implementation of automatic differentiation (operator overloading)

∫ Straightforward numerical integration of systems of ordinary differential equations

Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem

Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.

基于Python的numpy实现的简易深度学习框架，包括自动求导、优化器、layer等的实现。

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia

A python tutorial on bayesian modeling techniques (PyMC3)

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Numerical Methods (NM) for BE Electrical II Year / II Part, Email: [email protected]

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

Numerical methods to solve ordinary differential equations in Rust.

A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)

Owl's Differential Equation Solvers

An OCaml interface to the Sundials suite of numeric solvers.

Adaptive Mesh Phase-field Evolution

Source-to-Source Debuggable Derivatives in Pure Python

library of C++ functions that support applications of Stan in Pharmacometrics

A operator overloading, tape-based, reverse-mode AD

NotImplementedError: VJP of gammainc wrt argnum 0 not defined

A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.

200行写一个自动微分工具

A lightweight deep learning framework made with ❤️