kulkarnihrishikesh Goto Github PK

neurodiffeq

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

paddlescience

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

pde-surrogate

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

phiflow

A differentiable PDE solving framework for machine learning

physics-informed-neural-networks-for-quantum-dynamics

A repo to learn and curate PINN

physics_informed_no

pptale.github.io

MNA_course

probabilistic_ml_fluids

Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"

sciann

Deep learning for Engineers - Physics Informed Deep Learning

sciann-applications

A place to share problems solved with SciANN

scimlbook

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

teachingdatascience

Course notes for Data Science related topics, prepared in LaTeX

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

xpinns

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