mengxiangming Goto Github PK

gmnn

Graph Markov Neural Networks

gnnpapers

Must-read papers on graph neural networks (GNN)

graphicalmodellearning.jl

Algorithms for Learning Graphical Models

graphlearn

Code to reproduce results in our paper "Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models".

guamp

gumbel_softmax_vae

PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution

hopfield-layers

Hopfield Networks is All You Need

imagenet-downloader

Downloader from ImageNet Image URLs

introductiontodatascience2019fall

laplace

Laplace approximations for Deep Learning.

lasso-regression

Lasso Regression Tutorials

learn2learn

PyTorch Meta-learning Framework for Researchers

learning-ising-dynamics

Interaction Screening and Pseudolikelihood based algorithms for learning dynamics of Ising model

linear_graph_autoencoders

Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementation from IJCAI 2019 article "A Degeneracy Framework for Scalable Graph Autoencoders" (G. Salha, R. Hennequin, V.A. Tran, M. Vazirgiannis)

master-template

Template and style files for ICLR

mengxiangming.github.io

my personal website

meta_curvature

The code for the paper, 'Meta-Curvature, Eunbyung Park and Junier Oliver, NeurIPS 2019'

murphy-machine-learning-a-probabilistic-perspective-errata-and-notes-4th-printing

Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)

nmpassing

neuronal message passing

nn_grise_neurips

NN-GRISE: Code for reproducibility

normalizing-flows-tutorial

Tutorial on normalizing flows.

ntk

Code for experiments in my blog post on the Neural Tangent Kernel: https://rajatvd.github.io/NTK

pmf

Proximal Mean-field for Neural Network Quantization

prml

PRML algorithms implemented in Python

prmlt

Matlab code for machine learning algorithms in book PRML

pydata_berlin_sacred

Lightning Talk about sacred at PyData Berlin

pygcn

Graph Convolutional Networks in PyTorch

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-gradual-warmup-lr

Gradually-Warmup Learning Rate Scheduler for PyTorch

pytorch-multigpu

Multi GPU Training Code for Deep Learning with PyTorch