d-ailin's Stars
SeldonIO/alibi-detect
Algorithms for outlier, adversarial and drift detection
NetManAIOps/OmniAnomaly
KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
PetarV-/DGI
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
wencolani/CrossE
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs (WSDM'2019)
DeepGraphLearning/pLogicNet
expressGNN/ExpressGNN
snap-stanford/GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
laiguokun/multivariate-time-series-data
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
zhuyiche/awesome-anomaly-detection
A complete list of papers on anomaly detection.
hoya012/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
firmai/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Zhenye-Na/DA-RNN
📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)
danieltan07/dagmm
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
Wookai/paper-tips-and-tricks
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
WangYueFt/dgcnn
lrjconan/GRAN
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
JiaxuanYou/graph-generation
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
rougier/matplotlib-cheatsheet
Matplotlib 3.1 cheat sheet.
pytorch/ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
rob-med/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
DeepGraphLearning/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)