Aasem Waqqas's Projects
A curated list of awesome network analysis resources.
The deeplearning methods for multi-omics data fusion
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A list of cool features of Git and GitHub.
code for paper "Graph Structure of Neural Networks"
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
package for dimensionality reduction under supervised data scenarios
Scripts for data processing
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
MIL-updated coded
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
Official Code for RobDANNs paper
Corruption and Perturbation Robustness (ICLR 2019)
Train a CNN model on CIFAR-10 dataset.
TODO.md file format - todomd.org
This jupyter notebook loads CIFAR10 images, carry out transforms like scaling to [0,1] and normalization and prints 25 images for comparision.
Config files for my GitHub profile.
Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.