A python package for physics-informed machine learning for solving partial differential equations

Finite Element Analysis Library in Python

Adaptive finite-element calculations for Poisson and linear elasticity based on equilibrated fluxes

PAESCAL project's fork of the Energy Exascale Earth System Model source code.

Lightweight, general, scalable C++ library for finite element methods

Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.

Energy Exascale Earth System Model source code. NOTE: use "maint" branches for your work. Head of master is not validated.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Analysis of Puerto Rican Senate voting

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

Keras implementations of Generative Adversarial Networks.

This package provides users with methods for the automated building, training, and testing of complex neural networks using Google's Tensorflow module. The project includes objects that perform bot…

Code and hyperparameters for the paper "Generative Adversarial Networks"

An Open Source Machine Learning Framework for Everyone

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations