udemirezen

PINNs-for-education

Deep Learning for Solving Differential Equations (Educational)

nn-frequency-shortcuts

Frequency Shortcuts in Neural Networks

UQ_ML_Tutorial

Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Comprehensive Review"

Learning-Python-Physics-Informed-Machine-Learning-PINNs-DeepONets

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

thermal-nn

Thermal Neural Networks. Application to an electric motor.

DeepOpLearn

Repository for a presentation on Deep Operator Learning / DeepONets

spikingNeuralNetworks_exploration

Code used to analyse the dependance of spiking neural network on initial conditions using snnTorch. The results are presented in my Bachelors Thesis: "The impact of initial parameters on the learning of spiking neural networks".

PI-DeepONet

Implementing a physics-informed DeepONet from scratch

PyBaMM

Fast and flexible physics-based battery models in Python

engression

TLSF_spectral_bias

napde-deeponet

ADMM-PINNs

Python codes for the paper "The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach"

awesome-neuromorphic

A curated list of awesome neuromorphic frameworks, libraries, resources, and other things

ANNarchy

ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.

deepwave

Wave propagation modules for PyTorch.

PINNacle

Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

Understanding-and-Mitigating-Extrapolation-Failures-in-Physics-Informed-Neural-Networks

my-neural-fields

Neuroevolution-of-PINNs

DeepONet_physics_inferring

deeponet-extrapolation

DeepONet extrapolation

awesome-snn

🔥🔥🔥A collection of some awesome public SNN(Spiking Neural Network) projects.

TensoRF_splitnet

[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

simulai

A toolkit with data-driven pipelines for physics-informed machine learning.

APL745-Assignment-8

Implementing Deeponet

PDE-DeepONet-Learning

A Deep Learning Approach to Solving PDEs: Implementing Neural Networks with Pytorch and Jax

deepspec

Computing and Plotting the NTK Spectrum

PIRBN

Physics-informed radial basis network

PINNS-EDO2