Deep learning for Engineers - Physics Informed Deep Learning

مباحث ویژه 3: یادگیری عمیق - شبکه های مولد

Source-to-Source Debuggable Derivatives in Pure Python

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

PINNs code for AI_Aristootle paper

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well a…

Repository for sharing code and data assocaited with En-DeepONet architecture

B-PINN - Jax - HMC tutorial

PyTorch Implementation of Physics-informed Neural Networks

Investigating PINNs

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

Julia bindings for the Enzyme automatic differentiator