Repository for REDCap artifacts for the UDS and associated forms

a deep learning approach for integrative cancer subtyping of multi-omics data

Convolutions for Sequence Modeling

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Papers about graph transformers.

Simplifying deep learning for medical imaging

Multi Atlas Segmentation and Morphometric analysis toolkit (MASMAT) for mouse brain MRI

Segment Anything in Medical Images

Lightweight utility for organizing the taskbar through groups

User-friendly Desktop Client App for AI Models/LLMs (GPT, Claude, Gemini, Ollama...)

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth

BrainSurfaceTK provides a suite of tools to apply Deep Learning techniques to brain surfaces and visualise the results in an easy to use Web Application.

Code for "Benchmarking Geometric Deep Learning for Cortical Segmentation and Neurodevelopmental Phenotype Prediction"

Deep Learning tools for brain medical images

Methods and Implements of Deep Clustering

Deep Learning-based Clustering Approaches for Bioinformatics

Implementations of survival models in R

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Code and dataset for SNP2Vec paper

Shape and Morphological Analysis (e.g. Cortical Shape, Surface Area, etc.)

PLINK reader for Python.

Genomics data visualization in Python by using matplotlib.