point-processes
There are 20 repositories under point-processes topic.
Networks-Learning/memorize
Code and real data for "Enhancing Human Learning via Spaced Repetition Optimization", PNAS 2019
Networks-Learning/tpprl
Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018
tsinghua-fib-lab/Spatio-temporal-Diffusion-Point-Processes
A diffusion-based framework for spatio-temporal point processes
hpaulkeeler/posts
Pieces of code that have appeared on my blog with a focus on stochastic simulations.
Networks-Learning/hdhp.py
Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
Networks-Learning/curb
Code for "An Online Algorithm to Reduce the Spread of Misinformation in Social Networks", WSDM 2018
ibm-research-tokyo/diffsnn
An implementation of a differentiable point process and a differentiable spiking neural network.
Networks-Learning/disease-control
Code and data for "Stochastic Optimal Control of Epidemic Processes in Networks", ML4H at NeurIPS 2018
For-a-few-DPPs-more/structure-factor
Compute structure factor of stationary and isotropic point processes
meowoodie/Neural-Spectral-Marked-Point-Processes
A novel general non-stationary point process model based on neural networks.
spatstat/spatstat.linnet
Sub-package of spatstat containing code for linear networks
spatstat/spatstat.random
Sub-package of spatstat containing functions for random generation
HidKim/SurvPP
Code for "Survival Permanental Processes for Survival Analysis with Time-Varying Covariates" at NeurIPS2023
meowoodie/Adversarial-Anomaly-Detection-via-LSTM
A LSTM based adversarial learning framework for anomaly detection.
guilgautier/PartialRejectionSampling.jl
Some implementations of partial rejection samplers
ymaltsman/ImageDSplayground
Codebase for generating visuals with dynamical systems over cyclic rings.
emaadmanzoor/rush
Temporal point process models for time-limited coupon prediction (KDD 2017).
damaf/MCNH-AR
The NHMC-AR model is a Non-Homogeneous Markov Chain AutoRegressive model. It is designed to perform context-sensitive forecasting in time series that are associated with event sequences.
segmentation-fault/point_process_superposition
Superposition of n i.i.d. one dimensional point processes according to " On the Superposition of Renewal Processes" D. R. Cox and Walter L. Smith