mhmdrdwn

biosim_inf200

Final Project for INF200, The task is to design and implement a modeling codebase for imaginary island called 'Rossumøya' with animals of different characteristics on it

car

Using Different Object Detection models on the Udacity Self Driving Cars dataset

classical_models

Classical DL models for EEG

easyPEASI

Updated Implimentation of easyPEASI: Easy Perturbation EEG Algorithm for Spectral Importance (This is part of interview process for PhD at Oslo Metropolitan university in Norway)

EEG-Graph

Using Graphs for classification of EEG

eegexplain

medm

NLweather

Using Fusion Models for forecasting of wind speed and direction. This is a hobby project to learn about time series

sort-algorithms

Benchmark Testing for sorting Algorithms, This is part of the course INF221 at NMBU

traffic

Demo of using GNNs and fusion models for traffic forcasting. This is a hobby project to learn Graph Machine Learning

mhmdrdwn/traffic

Demo of using GNNs and fusion models for traffic forcasting. This is a hobby project to learn Graph Machine Learning

mhmdrdwn/EEG-Graph

Using Graphs for classification of EEG

mhmdrdwn/NLweather

Using Fusion Models for forecasting of wind speed and direction. This is a hobby project to learn about time series

mhmdrdwn/biosim_inf200

Final Project for INF200, The task is to design and implement a modeling codebase for imaginary island called 'Rossumøya' with animals of different characteristics on it

mhmdrdwn/car

Using Different Object Detection models on the Udacity Self Driving Cars dataset

mhmdrdwn/medm

mhmdrdwn/classical_models

Classical DL models for EEG

mhmdrdwn/easyPEASI

Updated Implimentation of easyPEASI: Easy Perturbation EEG Algorithm for Spectral Importance (This is part of interview process for PhD at Oslo Metropolitan university in Norway)

mhmdrdwn/eegexplain

mhmdrdwn/graph_saliency_maps

Graph saliency maps through spectral convolutional networks for brain mapping

mhmdrdwn/mhmdrdwn

mhmdrdwn/point

mhmdrdwn/pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

mhmdrdwn/sort-algorithms

Benchmark Testing for sorting Algorithms, This is part of the course INF221 at NMBU

mhmdrdwn/ode

Solving ODE with Neural Network

mhmdrdwn/spine

Using different ML methods for classification of lower back pains into normal/abnormal (This is part of the interview process for PhD at Oslo Metropolitan university in Norway)

mhmdrdwn/ST-GCN