xiaojianliu Goto Github PK

code

开发者课堂课程资料

correctandsmooth

crnn

Convolutional-Recursive Deep Learning for 3D Object Classification Richard Socher, Brody Huval, Bharath Bhat, Christopher D. Manning and Andrew Y. Ng Advances in Neural Information Processing Systems (NIPS 2012)

current

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

dark-spots

datastudio

deep3dfacereconstruction

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)

deep_vs_surface

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

drift_vs_model

drifter_vs_model

fate

flag

Adversarial Data Augmentation for Graph Neural Networks.

from-bottom-to-surface

fvcom-vs-roms

gcn_keras

图卷积神经网络 A Simplified Graph Convolutional Network with Keras

gcrn

GCN+LSTM

gcrn2

gcrnn

get_u_v

gnn-toolbox

This toolbox is the work of Prof. Franco Scarselli, especially useful for graph neural network modelling.

gnn_community

Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li

gnn_hierarchical_pooling

Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".

gnn_molecules

This is a code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (or called fingerprints) in molecules.

gnnpapers

Must-read papers on graph neural networks (GNN)

google-research

Google AI Research

kevin

kfcm

KFCM algorithm for segmentation of MRI

kg-demo-for-movie