Hanjun Dai

graph_comb_opt. Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

pytorch_structure2vec. pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)

graphnn. Training computational graph on top of structured data (string, graph, etc)

GLN. Implementation of Retrosynthesis Prediction with Conditional Graph Logic Network

graph_adversarial_attack. Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)

sdvae. code for Syntax-Directed Variational Autoencoder that generates programs and molecues

steady_state_embedding. Learning Steady-States of Iterative Algorithms over Graphs

r-hsmm. Implementation of Recurrent Hidden Semi-Markov Model http://www.cc.gatech.edu/~lsong/papers/DaiDaiZhaLietal17.pdf

cvb. Code for Coupled Variational Bayes via Optimization Embedding

sequence2vec. C++

dde. Code for Kernel Exponential Family Estimation via Doubly Dual Embedding

icml17_knn. Deriving Neural Architectures from Sequence and Graph Kernels

Y86-Simulator. C++

gt-nlp-class. Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

vimrc. my vimrc

DuplicationDetector. Detect the duplication among articles based on MongoDB.

IECABrainDoc.

lecast. C#

MultiVariatePointProcess. C++

pytorch_scatter. PyTorch Extension Library of Optimized Scatter Operations

changepoint. MATLAB

pytorch-meta. A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Hanjun-Dai.github.io. https://hanjun-dai.github.io/