Pinned Repositories
gluonts
Probabilistic time series modeling in Python
HybridRFM
Code accompanying the paper 'Avoiding The Double Descent Phenomenon of Random FeatureModels Using Hybrid Regularization'
PNKH-B
MATLAB Implementation of our Projected Newton-Krylov Method for Bound-Constrained Optimization
CP-Flow
Convex potential flows
dlg
[NeurIPS 2019] Deep Leakage From Gradients
gluon-ts
Probabilistic time series modeling in Python
hessQuik
Computing gradients and Hessians of feed-forward networks with GPU acceleration
LSEMINK
PNKH-B
MATLAB Implementation of our Projected Newton-Krylov Method for Bound-Constrained Optimization
REDSDS
Pytorch implementation of RED-SDS (NeurIPS 2021).
KelvinKan's Repositories
KelvinKan/CP-Flow
Convex potential flows
KelvinKan/LSEMINK
KelvinKan/dlg
[NeurIPS 2019] Deep Leakage From Gradients
KelvinKan/gluon-ts
Probabilistic time series modeling in Python
KelvinKan/hessQuik
Computing gradients and Hessians of feed-forward networks with GPU acceleration
KelvinKan/PNKH-B
MATLAB Implementation of our Projected Newton-Krylov Method for Bound-Constrained Optimization
KelvinKan/REDSDS
Pytorch implementation of RED-SDS (NeurIPS 2021).