Saadman
Software Engineering | Bioinformatics | Data Science | Deep Learning
University of CincinnatiCincinnati, Ohio
Pinned Repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
AlgorithmDesigns
Code and description of different algorithmic design strategies
captum
Model interpretability and understanding for PyTorch
Cloudy_AWS
GSE72540_chronic_urticaria_analysis
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
UCI_BR_Cancer_2018
PCA analysis on Breast Cancer Coimbra dataset from UCI Machine Learning Repository. After reducing number of features, the features are used to classify healthy controls vs patients using SVM
LINCS_MOA_pred_implementation
ML classifiers used to predict Mechanism of Action of chemical perturbagens using L1000 gene expression data
SigNetA
SigNetA_Docker
Saadman's Repositories
Saadman/GSE72540_chronic_urticaria_analysis
Saadman/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Saadman/AlgorithmDesigns
Code and description of different algorithmic design strategies
Saadman/captum
Model interpretability and understanding for PyTorch
Saadman/Cloudy_AWS
Saadman/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
Saadman/UCI_BR_Cancer_2018
PCA analysis on Breast Cancer Coimbra dataset from UCI Machine Learning Repository. After reducing number of features, the features are used to classify healthy controls vs patients using SVM
Saadman/cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Saadman/cuda-samples
Saadman/GCN_fmri_decoding
Brain decoding using graph convolutional network on fMRI time-series
Saadman/gcp-for-bioinformatics
GCP Essentials for Bioinformatics Researchers
Saadman/gnn-model-explainer
gnn explainer
Saadman/google-research
Google Research
Saadman/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
Saadman/Network-Analysis-Made-Simple
An introduction to network analysis and applied graph theory using Python and NetworkX
Saadman/openCV_projects
Scripts on openCV and deep learning with openCV
Saadman/pygsp
Graph Signal Processing in Python
Saadman/r-c3.js
Saadman/r-cytoscape.js
Example code to embed Cytoscape.js into a R Shiny application and generate a standalone figures with Cytoscape.js from R
Saadman/r-cytoscape.js.2
Saadman/RprogrammingAssigment2
Saadman/scGNN
scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
Saadman/sig2lead
Saadman/SigNetA
Saadman/SigNetAcytoscapejs
Saadman/tensorflow2.0_projects
Saadman/tutorial
Saadman/Xray_abdominal_vs_chest_classification