[ICASSP 2025] Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach

Generalized Optimal Sparse Decision Trees

A list of Medical imaging datasets.

This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.

Symile is a flexible, architecture-agnostic contrastive loss that enables training modality-specific representations for any number of modalities.

ICLR'24 | Multimodal Patient Representation Learning with Missing Modalities and Labels

AI-based differential diagnosis of dementia etiologies on multimodal data

This repository is for the Multimodal Alzheimer’s Disease Diagnosis framework (MADDi).

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"

llama3 implementation one matrix multiplication at a time

A python package for processing eye movement data

A PyTorch implementation of FC4: Fully Convolutional Color Constancy with Confidence-weighted Pooling

Building a system to hypothesize a stretch goal for a UBC Okanagan project

Current development

The Bosque programming language is an experiment in regularized design for a machine assisted rapid and reliable software development lifecycle.

Utilizing information regarding US Veteran Suicide Rates over the years for interpreting crucial data.

Artificial intelligence for mental health diagnosis and recommendations