Python toolbox for sampling Determinantal Point Processes

• UpdatedAug 14, 2024
• Python

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

• UpdatedMar 15, 2023
• Python

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

• UpdatedJul 3, 2019
• Python

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

• UpdatedFeb 15, 2023
• Python

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

• UpdatedNov 9, 2021
• Python

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

• UpdatedJun 7, 2019
• Julia

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

• UpdatedOct 3, 2024
• Python

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

• UpdatedMar 22, 2025
• R

Companion paper for DPPy

• UpdatedNov 26, 2019
• TeX

• UpdatedNov 1, 2019
• Python

Group Recommendation Systems with Diversity-based Clustering and Game Theory

• UpdatedAug 1, 2024
• Jupyter Notebook

A project to implement Structured Determinantal Point Process algorithms.

• UpdatedAug 31, 2020
• Python

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

• UpdatedAug 18, 2021
• Python

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

• UpdatedDec 2, 2019
• Julia

Implementation of Bayesian experimental design using regularized determinantal point processes

• UpdatedDec 21, 2021
• Jupyter Notebook