determinantal-point-processes

There are 0 repository under determinantal-point-processes topic.

guilgautier / DPPy
Python toolbox for sampling Determinantal Point Processes
determinantal-point-processes sampling-methods random-matrix-theory python determinantal-processes
Language:Python 219
HKUNLP / icl-ceil
[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
compositionality determinantal-point-processes in-context-learning large-language-models metric-learning retrieval
Language:Python 91
M-Elfeki / GDPP
Generator loss to reduce mode-collapse and to improve the generated samples quality.
generative-adversarial-networks generative-model variational-autoencoders tensorflow determinantal-point-processes
Language:Python 35
cgartrel / nonsymmetric-DPP-learning
PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.
determinantal-point-processes determinantal-processes python pytorch
Language:Python 23
TianhongDai / div-hindsight
This is the official code of our paper "Diversity-based Trajectory and Goal Selection with Hindsight Experience Relay" [PRICAI 2021].
deep-reinforcement-learning hindsight-experience-replay determinantal-point-processes
Language:Python 10
cgartrel / LowRankDPP.jl
Julia implementation of low-rank determinantal point process (DPP) learning and prediction algorithms.
determinantal-point-processes
Language:Julia 8
spatstat / spatstat.model
Sub-package of spatstat containing functionality for parametric modelling and inference
analysis-of-variance cluster-process confidence-intervals determinantal-point-processes gibbs-process influence leverage model-diagnostics neyman-scott parameter-estimation poisson-process spatial-analysis spatial-modelling statistical-inference cox-process spatial-point-processes
Language:R 5
thinkwee / DPP_CNN_Summarization
code for the paper "In Conclusion Not Repetition:Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes"
cnn-seq2seq determinantal-point-processes conll summarization pytorch natural-language-processing natural-language-generation
Language:Python 4
guilgautier / DPPy_paper
Companion paper for DPPy
determinantal-point-processes sampling-methods companion-paper collaborative-research collaborative-writing travis-deploy
Language:TeX 3
nobug-code / Diversity_Networks_CNN_Pytorch
cnn pytorch determinantal-point-processes
Language:Python 2
RozaAbolghasemi / Shaply_GRS
Group Recommendation Systems with Diversity-based Clustering and Game Theory
clustering data-science decision-making determinantal-point-processes diversity game-theory gcn graph-convolutional-networks group-recommendation-system group-recommendations group-recommender-systems grouping machine-learning matrix-factorization pairwise-comparison pairwise-preferences recommendation-system shapley-value shapley-values user-contribution
Language:Jupyter Notebook 1
bareblackfoot / IDNet
Implementation of Learning Instance-Aware Object Detection Using Determinantal Point Processes, CVIU 2020
determinantal-point-processes object-detection instance-aware-multiclass-detection idnet dpp
Language:Python 0
hpaulkeeler / DetPoisson_Julia
Simulates a random determinantally-thinned Poisson point process on a rectangle.
determinantal-point-processes determinantal-processes julia point-process poisson-process random sampling
Language:Julia 0
sverdoot / regularized-dpp
Implementation of Bayesian experimental design using regularized determinantal point processes
bayesian-experimental-design determinantal-point-processes bayesian-design-of-experiments determinantal-processes dpp experimental-design colab-notebook pytorch
Language:Jupyter Notebook 0
adam-carruthers / StructuredDPP
A project to implement Structured Determinantal Point Process algorithms.
machine-learning determinantal-point-processes
Language:Python