Multi-language suite for high-performance solvers of differential equati...
A library for scientific machine learning and physics-informed learning
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, ge...
Parallel Computing and Scientific Machine Learning (SciML): Methods and ...
Differentiable SDE solvers with GPU support and efficient sensitivity an...
An acausal modeling framework for automatically parallelized scientific ...
Numerical differential equation solvers in JAX. Autodifferentiable and G...
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differentia...
Brian is a free, open source simulator for spiking neural networks.
Pre-built implicit layer architectures with O(1) backprop, GPUs, and sti...
Tutorials for doing scientific machine learning (SciML) and high-perform...
A library for solving differential equations using neural networks based...
Code for "Neural Controlled Differential Equations for Irregular Time Se...
🌊 Numerically solving and backpropagating through the wave equation
High performance ordinary differential equation (ODE) and differential-a...