lrjconan Goto Github PK

bdml

caffe_stuff

Deep Learning Stuffs

deep_parsimonious

Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016

factor_analysis

Factor Analysis, Gaussian Mixtures, Kmeans

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gran

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

graph-partition-neural-network-samples

Sample Code for Graph Partition Neural Networks

img-count

jmcglone.github.io

Data for jmcglone.com. Includes customization of Bootstrap 3.0. Blog and pages generated by Jekyll. Hosted on GitHub.

lanczosnetwork

Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

matlibnn

nmp_qc

Neural Message Passing for Computer Vision

node2vec

rbp

Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018

tensorflow

Computation using data flow graphs for scalable machine learning

utils

Some useful tiny tools