GraceXu182

cifar5m

CIFAR-5m dataset

DynG2G

Dynamic graph embedding with uncertainty quantification

graph-neural-pde

Graph Neural PDEs

infinite-width-NNs

Infinite-width neural networks from a practical point of view

L-DNQ

Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data

pytorch-cifar

95.47% on CIFAR10 with PyTorch

linear-classifier

A simple linear classifier using CIFAR-10 dataset

towards-bio-plausible-conv

binaryclassifiers_squareloss

Binary classification with square loss

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

nnUNet

power264

264 spherical nodes derived from functional connectivity mapping and meta-analysis by Power et al.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning