Networks-Learning/tpprl

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

Language: Python - Size: 925 KB - Last synced at: 9 days ago - Pushed at: almost 6 years ago - Stars: 78 - Forks: 18

spatstat/spatstat.random

Sub-package of spatstat containing functions for random generation

Language: R - Size: 572 KB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 5 - Forks: 2

qwding101/SpecPP

Spectral Analysis for Point Processes

Language: R - Size: 3.26 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

hpaulkeeler/posts

Pieces of code that have appeared on my blog.

Language: Python - Size: 891 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 49 - Forks: 24

For-a-few-DPPs-more/structure-factor

Compute structure factor of stationary and isotropic point processes

Language: Python - Size: 113 MB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 5

Networks-Learning/memorize

Code and real data for "Enhancing Human Learning via Spaced Repetition Optimization", PNAS 2019

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: 24 days ago - Pushed at: over 2 years ago - Stars: 183 - Forks: 29

spatstat/spatstat.linnet

Sub-package of spatstat containing code for linear networks

Language: R - Size: 801 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 7 - Forks: 2

tsinghua-fib-lab/Spatio-temporal-Diffusion-Point-Processes

A diffusion-based framework for spatio-temporal point processes

Language: Python - Size: 46.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 39 - Forks: 2

oharar/PointedSDMs

Language: R - Size: 9.83 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 12 - Forks: 7

ibm-research-tokyo/diffsnn

An implementation of a differentiable point process and a differentiable spiking neural network.

Language: Python - Size: 41 KB - Last synced at: 3 days ago - Pushed at: almost 4 years ago - Stars: 20 - Forks: 0

guilgautier/PartialRejectionSampling.jl

Some implementations of partial rejection samplers

Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: 12 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

HidKim/SurvPP

Code for "Survival Permanental Processes for Survival Analysis with Time-Varying Covariates" at NeurIPS2023

Language: Python - Size: 4.37 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Networks-Learning/curb

Code for "An Online Algorithm to Reduce the Spread of Misinformation in Social Networks", WSDM 2018

Language: Jupyter Notebook - Size: 39.2 MB - Last synced at: 9 days ago - Pushed at: over 7 years ago - Stars: 27 - Forks: 8

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.

Language: Python - Size: 4.22 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Networks-Learning/hdhp.py

Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017

Language: Python - Size: 43.8 MB - Last synced at: 9 days ago - Pushed at: over 6 years ago - Stars: 36 - Forks: 12

Networks-Learning/disease-control

Code and data for "Stochastic Optimal Control of Epidemic Processes in Networks", ML4H at NeurIPS 2018

Language: Jupyter Notebook - Size: 43.4 MB - Last synced at: 9 days ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 4

emaadmanzoor/rush

Temporal point process models for time-limited coupon prediction (KDD 2017).

Language: Jupyter Notebook - Size: 20.5 KB - Last synced at: about 2 months ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 1

meowoodie/Adversarial-Anomaly-Detection-via-LSTM

A LSTM based adversarial learning framework for anomaly detection.

Language: Python - Size: 999 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1

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

Language: Matlab - Size: 16.6 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0