cfeng783 Goto Github PK

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

gtt

Codebase for CIKM '24 paper -- General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting

gumbel-softmax

ilya-sutskever-recommended-reading

It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.

invariantrulead

keras

Deep Learning for humans

keras-contrib

Keras community contributions

londonsimpctmc

mopo

Code for MOPO: Model-based Offline Policy Optimization

ndss19_invariantrulead

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

nsibf

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

omnianomaly

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

paloma

This is the source code of the Eclipse Plugin for PALOMA

pars

Codebase for CIKM '24 paper -- PARs: Predicate-based Association Rules for Efficient and Accurate (Model-Agnostic) Anomaly Explanation

pars-exp

Code for CIKM' 24 paper: PARs: Predicate-based Association Rules for Efficient and Accurate Anomaly Explanation

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.