Alternatives and similar repositories for egtplot

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

• marcharper / pyed
  Computes trajectories for evolutionary dynamics.
  ☆14Updated 4 years ago
• marcharper / stationary
  Stationary distributions for arbitrary finite state Markov processes, including specializations for the Moran, Wright-Fisher, and other …
  ☆21Updated 7 years ago
• jkbren / einet
  Uncertainty and causal emergence in complex networks
  ☆118Updated 4 years ago
• Socrats / EGTTools
  Toolbox for Evolutionary Game Theory.
  ☆100Updated last week
• hackl / network2tikz
  A converter that takes a network (cnet, igraph, networkx, pathpy, ...) and creates a tikz-network for smooth integration into LaTeX.
  ☆52Updated 4 years ago
• probml / probml-utils
  Utilities for probabilistic ML
  ☆36Updated 2 years ago
• andrewcharlesjones / multi-group-GP
  Multi-group Gaussian process (MGGP)
  ☆22Updated last year
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• EmoryUniversityTheoreticalBiophysics / SirIsaac
  Automated dynamical systems inference
  ☆38Updated 2 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆115Updated last year
• robertness / pyro_agents
  Agent models implemented with Pyro
  ☆11Updated 2 years ago
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆20Updated 4 years ago
• simoninireland / epydemic
  Epidemic processes on networks in Python
  ☆50Updated 9 months ago
• hanyas / mimo
  A toolbox for inference of mixture models
  ☆16Updated 2 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• rgiordan / vittles
  "Variational inference tools to leverage estimator sensitivity."
  ☆16Updated 2 years ago
• gvanderheide / discreteMarkovChain
  Calculate the steady state distribution of a discrete Markov chain in Python.
  ☆46Updated 7 years ago
• schwartenbeckph / CPC_ActiveInference2018
  Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018
  ☆34Updated 5 years ago
• cicl-stanford / csm
  Contains all materials for the paper "A counterfactual simulation model of causal judgment".
  ☆24Updated 4 years ago
• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated last year
• DiODeProject / MuMoT
  Multiscale Modelling Tool - mathematical modelling without the maths
  ☆22Updated 3 years ago
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆42Updated 2 years ago
• Happy-Algorithms-League / hal-cgp
  Cartesian genetic programming (CGP) in pure Python.
  ☆34Updated last year
• distillpub / post--visual-exploration-gaussian-processes
  A Visual Exploration of Gaussian Processes
  ☆103Updated 2 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• slinderman / stats215
  ☆30Updated 5 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
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 4 years ago
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆121Updated 7 months ago
• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago