cfeng783

NSIBF

Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering

GTT

Codebase for General Time Transformer - Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction

NDSS19_InvariantRuleAD

Code for NDSS' 19 paper: A Systematic Framework to Generate Invariants for Anomaly Detection in Industrial Control Systems

PARs

PARs: Predicate-based Association Rules for Efficient and Accurate Model-Agnostic Anomaly Explanation

gumbel-softmax

InvariantRuleAD

paloma

This is the source code of the Eclipse Plugin for PALOMA

adversarial_text

Code for Adversarial Training Methods for Semi-Supervised Text Classification

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

cfeng783.github.io

keras

Deep Learning for humans

keras-contrib

Keras community contributions

LONDONSIMPCTMC

mopo

Code for MOPO: Model-based Offline Policy Optimization

OmniAnomaly

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

pepa

PEPA Eclipse Plugin

PEVA-SSA

sparse-autoencoder-tensorflow

This is an example of using Tensorflow to build Sparse Autoencoder for representation learning.

wsp

Code for paper: Availability Modeling of Generalized k-Out-of-n:G Warm Standby Systems With PEPA, Xiaoyue Wu, Jane Hillston, Cheng Feng, IEEE Transactions on systems, man, and cybernetics: systems.