Linux kernel source tree

This is a game based on the classic one called rock paper scissors

Parallel algorithms and data structures for tree-based adaptive mesh refinement (AMR) with arbitrary element shapes.

Python and NumPy extension module implementing the generalized signular value decomposition (GSVD).

Deep-learning iterative solver for the heterogeneous 2D Helmholtz equation

Hidden physics models: Machine learning of nonlinear partial differential equations

Pure python seismic data processing

FWIGAN: Full-Waveform Inversion with Deep Adversarial Learning

En este repositorio se trabajará más la parte de la página diseñada para el profe John

A smarter cd command. Supports all major shells.

Physics-Informed Neural networks for Advanced modeling

Improved version of the numerical model for calcium diffusion into a skeletal sarcomere to account for the role of Parvalbumin and of Magnesium.

Utilidades de Mecánica Celeste

Scientific Inkscape: Inkscape extensions for figure resizing and editing

SEISMIC_CPML is a set of sixteen open-source Fortran90 programs to solve the two-dimensional or three-dimensional isotropic or anisotropic elastic, viscoelastic or poroelastic wave equation using a…

This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.

Repository contains workouts of linear datastructures like linkedlists,stacks,queues and major five sorting algorithms.In addition it holds the implementation of hash table with three different col…

Extreme Learning Machine implementation in Python

Extreme Learning Machine(ELM): Python code

XPINN code written in TensorFlow 2

Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations

hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations

Introduction to JAX Workshop @ ETH Zurich, 25 June 2024

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

reflame: Revolutionizing Functional Link Neural Network by Metaheuristic Optimization

Implementation of PINNs in TensorFlow 2