gear

denoising-gnn

Implementation for Denoising Graph Neural Networks

gcn

Implementation of Graph Convolutional Networks in TensorFlow

cs224n_nlp

Stanford CS224D: Natural Language Processing with Deep Learning

learn

Online courses' projects and assignments

AWE

Compute graph embeddings via Anonymous Walk Embeddings

cs276_search

Information Retrieval and Web Search

deco

DeepRecommender

Deep learning for recommender systems

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

graph-embedding

Implementations for some of the most popular graph embedding algorithms

graph-kernels

Graph kernels

Graph-Reading-Group

Weekly reading group on Graphs at Mila

HARP

Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"

HowToTrainYourMAMLPytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

MinimaxErrorRate

nbpreview

Render IPython/Jupyter notebooks without running a notebook server.

NonEuclidean

A Non-Euclidean Rendering Engine for 3D scenes.

OpenNE

An Open-Source Package for Network Embedding (NE)

optimal_assignment_kernels

Source code for the paper "On Valid Optimal Assignment Kernels and Applications to Graph Classification", Nils M. Kriege, Pierre-Louis Giscard, Richard C. Wilson, NIPS 2016.

published_papers

My published papers, posters, and presentations

pumil

Convex Formulation of Multiple Instance Learning from Positive and Unlabeled Bags

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pytorch-graphsage

Representation learning on large graphs using stochastic graph convolutions.

semi-supervised-pytorch

Implementations of different VAE-based semi-supervised and generative models in PyTorch

SGC

official implementation for the paper "Simplifying Graph Convolutional Networks"

stellargraph

Machine Learning on Graphs

variational-dropout-sparsifies-dnn

Sparse Variational Dropout, ICML 2017

voidrice

My dotfiles (deployed by LARBS)

wss-ml-training

Machine Learning Tutorials