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anogan

Tensorflow Implementation of AnoGAN (Anomaly GAN)

astgcn

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

bible_text_gcn

Text-Based Graph Convolution Network

clustergcn

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

cold-start

cold start of recommendation

collaborativememorynetwork

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

coursera_prl

coursera_prl

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

deephit

DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks

deepinterestnetwork

deepstn

Codes for AAAI 2019 DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis

dien

diversefewshot_amazon

dl4j-examples

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

dmvst-net

DMVST-Net for AAAI 2018

drsa

Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper.

dstn

Deep Spatio-Temporal Neural Network (DSTN)

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

featurelearningrotnet

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

gcn

Implementation of Graph Convolutional Networks in TensorFlow

graph-wavenet

graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

graphsage

Representation learning on large graphs using stochastic graph convolutions.

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

jodie

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

karateclub

A general purpose community detection and network embedding library for research built on NetworkX.