This repository will host scripts used to map structural and functional brain connectivity matrices for the UK biobank dataset.

Official repository for "A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains", NeurIPS-23.

Graph Positional and Structural Encoder

Collaborative Score Distillation for Consistent Visual Synthesis (NeurIPS 2023)

Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

Benchmarks for Graph Machine Learning in Brain Connectomics

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23

[ICCV 2023] VPD is a framework that leverages the high-level and low-level knowledge of a pre-trained text-to-image diffusion model to downstream visual perception tasks.

A collection of resources and papers on Diffusion Models

Crops and exports slide images

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

Generating RGB photos from RAW image files with PyNET

Deep Graph Mapper: Seeing Graphs through the Neural Lens

Framework for Easily Invertible Architectures

Python implementation to text to you while training some deep network.