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2019_cni_trainingrelease

Training data release for Connectomics in NeuroImaging - Transfer Learning Challenge (CNI-TLC). For more details, see http://miccai.brainconnectivity.net

4d-fed-gnn

Federated time-dependent graph evolution prediction with missing timepoints.

4d-fedgnn-plus

Federating temporally-varying graph timeseries

abmt

ABMT (Adversarial Brain Multiplex Translator) for brain graph translation using geometric generative adversarial network (gGAN).

agsr-net

Brain graph super-resolution using graph neural networks.

alphatensor

analysis-of-network-centrality-measures-in-python

Within this work, several experiments in Oldham et al. paper that is conducted in MATLAB, is coded up using Jupyter Notebook.

augmentatornet

autogpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-causality

Resources related to causality

awesome-dataset-distillation

Awesome Dataset Distillation Papers

awesome-federated-learning-on-graph-and-gnn-papers

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

awesome-mlss

List of summer schools in machine learning + related fields across the globe

basic-ml-dl-concepts

Introduction to simple machine learning, deep learning and geometric deep learning concepts and methods.

bgsr

Brain Graph Super-Resolution: how to generate high-resolution graphs from low-resolution graphs?

bgsr-py

Brain Graph Super-Resolution: how to generate high-resolution graphs from low-resolution graphs? (Python3 version)

brainnet-ml-toolbox

Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.

brainspace

BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |

centrality_correlations

cgts-gan

Topology-guided cyclic graph generation using GCNs.

chemprop

Message Passing Neural Networks for Molecule Property Prediction

cmginet

Coming up soon.

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

conp-dataset

:open_file_folder: A DataLad dataset for CONP

cqsign

Affordable GNN using Topological Contraction

ddrm

[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

deepchecks

Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

dgl

Deep Graph-Based Learning Course (ICL, Computing)

dgn

How to fuse a population of graphs into a single one using graph neural networks?

dicat

Tool to anonymize DICOM data headers.