Melodi Lab @ The University of Washington

DIHCL

divfl

Diverse Client Selection for Federated Learning via Submodular Maximization

DoCL

Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)

dripToolkit

The DRIP Toolkit (DTK) identifies tandem mass spectra utilizing a Dynamic Bayesian network for Rapid Identification of Peptides (DRIP). DTK performs efficient dynamic Bayesian network (DBN) inference using the Graphical Models Toolkit (GMTK).

gmtk

gmtk - the graphical models toolkit

ILMSF_old

MATLAB code by Kai Wei : Interactive Learning of Mixtures of Submodular Functions, for Image Summarization

Kmers-Selection

SGM

Bipartite matching generalizations for peptide identification in tandem mass spectrometry

SGMvisualization

Submodular-Selection-of-Assays

melodi-lab/divfl

Diverse Client Selection for Federated Learning via Submodular Maximization

melodi-lab/gmtk

gmtk - the graphical models toolkit

melodi-lab/dripToolkit

The DRIP Toolkit (DTK) identifies tandem mass spectra utilizing a Dynamic Bayesian network for Rapid Identification of Peptides (DRIP). DTK performs efficient dynamic Bayesian network (DBN) inference using the Graphical Models Toolkit (GMTK).

melodi-lab/Submodular-Selection-of-Assays

melodi-lab/SGM

Bipartite matching generalizations for peptide identification in tandem mass spectrometry

melodi-lab/DIHCL

melodi-lab/DoCL

Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)

melodi-lab/ILMSF_old

MATLAB code by Kai Wei : Interactive Learning of Mixtures of Submodular Functions, for Image Summarization

melodi-lab/Kmers-Selection

melodi-lab/SGMvisualization

melodi-lab/dataperf-vision-selection

Alpha version of our data-centric visual benchmark for training data selection

melodi-lab/GUI_Interface_For_Submodular_Data_Selection

melodi-lab/MCL