MahaaM

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

vision_transformer

trl

Train transformer language models with reinforcement learning.

machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

torchio

Medical imaging toolkit for deep learning

Attention-Gated-Networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

tutorials

MONAI Tutorials

ANTs

Advanced Normalization Tools (ANTs)

ads1-notebooks

Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing

ads1-slides

Slides for Algorithms for DNA Sequencing Coursera class

TopoModelX

Topological Deep Learning

Tutorial-Medical-Image-Registration

Medical Image Registration

HiFuse

HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification

BrainPrep

Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.

oasis-scripts

Example download scripts for the OASIS3 project

ANTsR

R interface to the ANTs biomedical image processing library

gmu-mmimdb

Source code for training Gated Multimodal Units on MM-IMDb dataset

Nested-Cross-Validation

Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that implements the scikit-learn interface.

pe_fusion

global-local-transformer

Global-local Transformer for brain age prediction

Alzheimers_Diagnosis_StageDetermination

E6893 Final Project for ja3130, mn2769, and hz2441 (Project ID: 201712-18)

SimpleReg

SimpleReg is a research-focused toolkit that provides tools helpful for (medical) image registration and processing.

multimodal-fusion

Multimodal Fusion, Multimodal Sentiment Analysis

attention_guided_cropping

cmu-ammml-project

Project for the Advanced Multimodal Machine Learning course at CMU.

BAM

Implementation of BAM: Bottleneck Attention Module with TensorFLow

ALZHEIMERS-PREDICTION-CNN

This Machine Learning course project is on 3D MRI image analysis for Alzheimer's disease prediction. Transfer Learning is used for classification and analysis of images.

COVID-Detection-Gompertz-Function-Ensemble

Based on our paper "Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-Scans".

challenges-xai-aging-aaai23

Supplementary materials to "Challenges facing the explainability of age prediction models: case study for two modalities"

Early-Detection-of-Alzheimer-s-Disease

This is implemented using the concepts of transfer learning and ensemble learning. ResNet50 models are built for each axis of the brain MRI and Majority voting is implemented to predict the class AD or NC.