Dr. M. Umut DEMİREZEN's repositories
cryosphere-links
This is a link list with awesome data, models, and tools around the cryosphere.
modulus-sym
Repo of abstracted workflow comparable to existing numerical solvers for training data-free and data-driven AI surrogates
spectral_bias
Investigation of spectral bias through Fourier transform.
slayerPytorch
PyTorch implementation of SLAYER for training Spiking Neural Networks
glaciers
Authors' implementation of the article "Simulation, Modeling, and Authoring of Glaciers", SIGGRAPH Asia 2020
mat_interp
mat_interp
wire
wavelet implicit neural representations
EvidentialDL
A package implementing evidential deep learning layers for classification and regression
snntorch_tutorial
Tutorial for the Python package snnTorch, to be used for Senior Capstone project in creating neural networks
graph-pooling-papers
Papers on Graph Pooling (GNN-Pooling)
SNN-training-using-bayesian-optimization
training SNN using voxel grid based preprocessing by snntorch and tonic
neupy
NeuPy is a Tensorflow based python library for prototyping and building neural networks
awesome-neuroscience
A curated list of awesome neuroscience libraries, software and any content related to the domain.
snntorch-implement4spike-deeplab
snn implementation for spike-deeplab and spike-fcn
DF-2022
Code for DF 2022
fourier_neural_operator
Use Fourier transform to learn operators in differential equations.
pytorch_forward_forward
Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation
unreasonable_effective_der
Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"
ECNP
Code for the Evidential Conditional Neural Processes
Training-NNs-without-Backpropagation
Implementing an ADMM based optimization approach as an alternative to backpropagation for training neural networks.
dlkoopman
Koopman theory implemented using deep learning
ModelingNeuralCircuits
PDF and Code to accompany the textbook "Modeling Neural Circuits Made Simple"