Alternatives and similar repositories for egtsimplex

Users that are interested in egtsimplex are comparing it to the libraries listed below

• mirzaevinom / egtplot
  egtplot: A python package for 3-Strategy Evolutionary Games
  ☆50Updated last month
• marcharper / stationary
  Stationary distributions for arbitrary finite state Markov processes, including specializations for the Moran, Wright-Fisher, and other …
  ☆21Updated 6 years ago
• Axelrod-Python / Axelrod-notebooks
  A repository of example Jupyter notebooks
  ☆24Updated 7 years ago
• beamandrew / HMC_GPU
  Code to accompany the paper "Fast Hamiltonian Monte Carlo Using GPU Computing"
  ☆34Updated 8 years ago
• marcharper / pyed
  Computes trajectories for evolutionary dynamics.
  ☆14Updated 4 years ago
• emstoudenmire / parity
  Experiments learning the even-parity dataset with MPS (tensor trains)
  ☆23Updated last year
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• gvanderheide / discreteMarkovChain
  Calculate the steady state distribution of a discrete Markov chain in Python.
  ☆46Updated 7 years ago
• epidemics / COVIDNPIs
  Data and code for COVID-19 NPI effectiveness estimation.
  ☆30Updated 4 years ago
• taliesinb / spatial-game-theory
  A flexible Mathematica package for conducting experiments involving spatial game theory
  ☆53Updated 5 years ago
• lawmurray / LibBi
  Bayesian state-space modelling on high-performance hardware, including multicore, GPUs and distributed clusters.
  ☆101Updated last year
• ivanvoitalov / tail-estimation
  ☆34Updated 5 years ago
• HIPS / pgmult
  Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
  ☆61Updated 4 years ago
• simoninireland / epydemic
  Epidemic processes on networks in Python
  ☆49Updated 6 months ago
• usnistgov / optbayesexpt
  Optimal Bayesian Experiment Design
  ☆39Updated last year
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 6 years ago
• cvxgrp / ncvx
  ☆76Updated 3 years ago
• joelnish / double-edge-swap-mcmc
  Contains methods to uniformly sample graphs with a given degree sequence.
  ☆19Updated 6 years ago
• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆28Updated 6 years ago
• dsheldon / covid
  Bayesian modeling of COVID-19
  ☆31Updated 2 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆27Updated 6 years ago
• CamDavidsonPilon / decision-weights
  Homegrown analysis of Prospect Theory: Math, turkers and python =)
  ☆33Updated 10 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆77Updated last year
• springer-math / Mathematics-of-Epidemics-on-Networks
  Source code accompanying 'Mathematics of Epidemics on Networks' by Kiss, Miller, and Simon http://www.springer.com/us/book/9783319508047 …
  ☆158Updated last year
• joelmiller / DynamicProcessesOnNetworks
  ☆36Updated 4 years ago
• mlubin / JuMPSupplement
  Repository containing supplementary materials and code for "JuMP: A Modeling Language for Mathematical Optimization"
  ☆27Updated 9 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆35Updated 5 years ago
• buqeye / gsum
  A Bayesian model of series convergence using Gaussian sums
  ☆13Updated last year
• Socrats / egt-tutorial
  simple tutorial on evolutionary game theory
  ☆14Updated last year
• betanalpha / jamon
  An Implementation of Constrained Hamiltonian Monte Carlo
  ☆18Updated 12 years ago