determinantal-point-processes

HKUNLP/icl-ceil

[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.

M-Elfeki/GDPP

Generator loss to reduce mode-collapse and to improve the generated samples quality.

cgartrel/nonsymmetric-DPP-learning

PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.

TianhongDai/div-hindsight

This is the official code of our paper "Diversity-based Trajectory and Goal Selection with Hindsight Experience Relay" [PRICAI 2021].

cgartrel/LowRankDPP.jl

Julia implementation of low-rank determinantal point process (DPP) learning and prediction algorithms.

spatstat/spatstat.model

Sub-package of spatstat containing functionality for parametric modelling and inference

thinkwee/DPP_CNN_Summarization

code for the paper "In Conclusion Not Repetition:Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes"

guilgautier/DPPy_paper

Companion paper for DPPy

nobug-code/Diversity_Networks_CNN_Pytorch

RozaAbolghasemi/Shaply_GRS

Group Recommendation Systems with Diversity-based Clustering and Game Theory

bareblackfoot/IDNet

Implementation of Learning Instance-Aware Object Detection Using Determinantal Point Processes, CVIU 2020

hpaulkeeler/DetPoisson_Julia

Simulates a random determinantally-thinned Poisson point process on a rectangle.

sverdoot/regularized-dpp

Implementation of Bayesian experimental design using regularized determinantal point processes

adam-carruthers/StructuredDPP

A project to implement Structured Determinantal Point Process algorithms.