udemirezen

arctic-research

ADA-F

Anti-Derivatives Approximator from Fourier series expansion

AutoKoopman

AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.

awesome-deep-snn

A curated list of awesome deep spiking neural networks projects

awesome-snn-conference-paper

🔥 This repo collects summit papers, codes about Spiking Neural Networks for anyone who wants to do research on it. We are continuously improving the project.

Awesome-Spiking-Neural-Networks1

A paper list of spiking neural networks, including papers, codes, and related websites.

Awesome-Spiking-Neural-Networks2

Awesome Spiking Neural Networks

Deep-Evidential-Regression

DeepOpLearn

Repository for a presentation on Deep Operator Learning / DeepONets

DEER

evidential-deeplearning

Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neural network.

Georgia_GIA

icenet-paper

Code associated with the paper 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'

igm

Instructed Glacier Model (IGM)

lca-pytorch

Sparse coding in PyTorch via the Locally Competitive Algorithm (LCA)

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

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

mccarthy

my slides, notes, and codes on numerical glacier and ice sheet modeling, for the International Summer School in Glaciology, McCarthy, AK

nn-frequency-shortcuts

Frequency Shortcuts in Neural Networks

ODINN.jl

Global glacier model using Universal Differential Equations for climate-glacier interactions

PINN-for-ExtremeMechanics

pinn_clusters

Accompanying code for paper: "1D Ice Shelf Hardness Inversion: Clustering Behavior and Collocation Resampling in Physics-Informed Neural Networks." Code for training PINNs for 1D ice-shelf inverse modeling and analysis of training results over repeated trials.

PINNs-for-education

Deep Learning for Solving Differential Equations (Educational)

pinns-torch

PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

search_fundamentals_course

Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-fundamentals?utm_source=daniel

SNN-Tutorial-with-snnTorch

The snnTorch tutorial series is based on the Jason K. Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, and Wei D. Lu. "Training Spiking Neural Networks Using Lessons From Deep Learning". arXiv preprint arXiv:2109.12894, September 2021.

snntorch-learning

Learning about snnTorch

snntorch-LSM

snntorch_tutorial_zh

个人翻译官方 snntorch tutorial

thermal-nn

Thermal Neural Networks. Application to an electric motor.

UQ_ML_Tutorial

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