GitHub topics: determinantal-point-processes
spatstat/spatstat.model
Sub-package of spatstat containing functionality for parametric modelling and inference
Language: R - Size: 1.45 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 5 - Forks: 1

thinkwee/DPP_CNN_Summarization
code for the paper "In Conclusion Not Repetition:Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes"
Language: Python - Size: 3.77 MB - Last synced at: 22 days ago - Pushed at: 7 months ago - Stars: 5 - Forks: 2

guilgautier/DPPy
Python toolbox for sampling Determinantal Point Processes
Language: Python - Size: 6.37 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 218 - Forks: 52

RozaAbolghasemi/Shaply_GRS
Group Recommendation Systems with Diversity-based Clustering and Game Theory
Language: Jupyter Notebook - Size: 3.31 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

nobug-code/Diversity_Networks_CNN_Pytorch
Language: Python - Size: 458 MB - Last synced at: 9 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 1

adam-carruthers/StructuredDPP
A project to implement Structured Determinantal Point Process algorithms.
Language: Python - Size: 7.34 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

cgartrel/nonsymmetric-DPP-learning
PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.
Language: Python - Size: 55.4 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 20 - Forks: 5

cgartrel/LowRankDPP.jl
Julia implementation of low-rank determinantal point process (DPP) learning and prediction algorithms.
Language: Julia - Size: 431 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 8 - Forks: 1

HKUNLP/icl-ceil
Code for our paper “Compositional Exemplars for In-context Learning”.
Language: Python - Size: 291 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 30 - Forks: 2

TianhongDai/div-hindsight
This is the official code of our paper "Diversity-based Trajectory and Goal Selection with Hindsight Experience Relay" [PRICAI 2021].
Language: Python - Size: 2.71 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 2

M-Elfeki/GDPP
Generator loss to reduce mode-collapse and to improve the generated samples quality.
Language: Python - Size: 4.13 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 32 - Forks: 4

sverdoot/regularized-dpp
Implementation of Bayesian experimental design using regularized determinantal point processes
Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

bareblackfoot/IDNet
Implementation of Learning Instance-Aware Object Detection Using Determinantal Point Processes, CVIU 2020
Language: Python - Size: 2.39 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

guilgautier/DPPy_paper
Companion paper for DPPy
Language: TeX - Size: 887 KB - Last synced at: 18 days ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1

hpaulkeeler/DetPoisson_Julia
Simulates a random determinantally-thinned Poisson point process on a rectangle.
Language: Julia - Size: 9.77 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
