vrhosseini

sciann

Deep learning for Engineers - Physics Informed Deep Learning

sru_deep_3

مباحث ویژه 3: یادگیری عمیق - شبکه های مولد

tangent

Source-to-Source Debuggable Derivatives in Pure Python

PyHessian

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

KernelPack-Lite-Jax

AI-Aristotle-PINNs

PINNs code for AI_Aristootle paper

get-started-with-JAX

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 as the content I found useful while learning about the JAX ecosystem.

En-DeepONet

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

HMC-B-PINN---Jax-tutorial

B-PINN - Jax - HMC tutorial

PINNs

PyTorch Implementation of Physics-informed Neural Networks

Physics-Informed-Neural-Networks

Investigating PINNs

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.

Enzyme.jl

Julia bindings for the Enzyme automatic differentiator