Dr. M. Umut DEMİREZEN's repositories
pykan
Kolmogorov Arnold Networks
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.
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.
igm
Instructed Glacier Model (IGM)
Awesome-Spiking-Neural-Networks1
A paper list of spiking neural networks, including papers, codes, and related websites.
pinns-torch
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
ODINN.jl
Global glacier model using Universal Differential Equations for climate-glacier interactions
AutoKoopman
AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
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.
snntorch-learning
Learning about snnTorch
icenet-paper
Code associated with the paper 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'
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
evidential-deeplearning
Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neural network.
snntorch_tutorial_zh
个人翻译官方 snntorch tutorial
awesome-deep-snn
A curated list of awesome deep spiking neural networks projects
Awesome-Spiking-Neural-Networks2
Awesome Spiking Neural Networks
ADA-F
Anti-Derivatives Approximator from Fourier series expansion
lca-pytorch
Sparse coding in PyTorch via the Locally Competitive Algorithm (LCA)
mccarthy
my slides, notes, and codes on numerical glacier and ice sheet modeling, for the International Summer School in Glaciology, McCarthy, AK
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.