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Minimal Python VS Code debugging and typechecking setup
Set up your GitHub Actions workflow with a specific version of node.js
Federated time-dependent graph evolution prediction with missing timepoints.
basiralab / leaf
Forked from TalwalkarLab/leafLeaf: A Benchmark for Federated Settings
basiralab / drawio-desktop
Forked from jgraph/drawio-desktopOfficial electron build of draw.io
MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.
StairwayGraphNet for inter- and inter-modality graph superresolution.
basiralab / udlbook
Forked from udlbook/udlbookUnderstanding Deep Learning - Simon J.D. Prince
Regression Graph Neural Network (regGNN) for cognitive score prediction.
basiralab / awesome-mlss
Forked from awesome-mlss/awesome-mlssList of summer schools in machine learning + related fields across the globe
basiralab / DICAT
Forked from aces/DICATTool to anonymize DICOM data headers.
Comparative survey of multigraph integration methods
Federated Multimodal and Multiresolution Graph Integration
Federating temporally-varying graph timeseries
basiralab / chemprop
Forked from chemprop/chempropMessage Passing Neural Networks for Molecule Property Prediction
Template-based federated multiview domain alignment
How to fuse a population of graphs into a single one using graph neural networks?
Federated prediction of graph multi-trajectory evolution
basiralab / ManimML
Forked from helblazer811/ManimMLManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
basiralab / AutoGPT
Forked from Significant-Gravitas/AutoGPTAn experimental open-source attempt to make GPT-4 fully autonomous.
basiralab / generative_adversarial_networks_101
Forked from mafda/generative_adversarial_networks_101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Heterogeneous federated learning for graph super-resolution
EvoGraphNet for graph time-series forecasting from a single timepoint.
Federated learning from limited data using model replica.