sinanlab Goto Github PK

arithmetic-formatter

Arithmetic - Formatter is a method that format the input problems for low standard classes to format them into correct format in case of additiona and subtraction

buget

caputo_fractional_derivative

A python function Caputo Fractional Derivative or Caputo Fractional Differential Operator with Pytorch

data-analytics-se

ME 539 - Introduction to Scientific Machine Learning

deepxde

A library for scientific machine learning and physics-informed learning

fastonn

FastONN - Python based open-source GPU implementation for Operational Neural Networks

fourcastnet

Initial public release of code, data, and model weights for FourCastNet

fracdiff

Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.

graphcast

hands-on-pinns

A Hands-on Introduction to Physics-Informed Neural Networks

neuralpde.jl

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

paddlescience

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

papers-in-100-lines-of-code

Implementation of papers in 100 lines of code.

pina

Physics-Informed Neural networks for Advanced modeling

pinn

A Python library for building atomic neural networks

pinn_tutorial

Hands-on tutorial for implementing Physics Informed Neural Networks in Pytorch

pinnpapers

Must-read Papers on Physics-Informed Neural Networks.

pinns

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

pino_applications

weatherForcasting

prob_calculator

shape_calculator

sinanlab.github.io

time-adder