waasem Goto Github PK

adversarialexamples

awesome-network-analysis

A curated list of awesome network analysis resources.

basic_models

dl-mo

The deeplearning methods for multi-omics data fusion

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gcn_cancer

github-cheat-sheet

A list of cool features of Git and GitHub.

graph2nn

code for paper "Graph Structure of Neural Networks"

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

lol

package for dimensionality reduction under supervised data scenarios

luna

Scripts for data processing

mogonet

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

multi-modal-cancer-data

pathology-and-cytology

MIL-updated coded

porpoise

Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

robdanns

Official Code for RobDANNs paper

robustness

Corruption and Perturbation Robustness (ICLR 2019)

sequence-to-sequence-models-with-attention

tinyimagenet_deterministicmodel

Train a CNN model on CIFAR-10 dataset.

todo.md

TODO.md file format - todomd.org

transgnn-lung

visualize-cifar10-images-before-and-after-normalization

This jupyter notebook loads CIFAR10 images, carry out transforms like scaling to [0,1] and normalization and prints 25 images for comparision.

waasem

Config files for my GitHub profile.

waasem.github.io

wsi-gtfe

Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.