Alternatives and similar repositories for pyed

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

• mirzaevinom / egtplot
  egtplot: A python package for 3-Strategy Evolutionary Games
  ☆50Updated 2 months ago
• marcharper / stationary
  Stationary distributions for arbitrary finite state Markov processes, including specializations for the Moran, Wright-Fisher, and other …
  ☆21Updated 7 years ago
• Socrats / EGTTools
  Toolbox for Evolutionary Game Theory.
  ☆99Updated this week
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆42Updated 2 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• mims-harvard / fusenet
  Network inference by fusing data from diverse distributions
  ☆14Updated 8 years ago
• probml / probml-utils
  Utilities for probabilistic ML
  ☆36Updated last year
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 4 years ago
• gvanderheide / discreteMarkovChain
  Calculate the steady state distribution of a discrete Markov chain in Python.
  ☆46Updated 7 years ago
• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆35Updated 4 years ago
• y0-causal-inference / y0
  ❓y0 (pronounced "why not?") is for causal inference in Python
  ☆57Updated last week
• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated last year
• hazimehh / L0Learn
  Efficient Algorithms for L0 Regularized Learning
  ☆102Updated last year
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated last year
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆28Updated 6 years ago
• andrewcharlesjones / multi-group-GP
  Multi-group Gaussian process (MGGP)
  ☆21Updated last year
• gpschool / gpss20
  Gaussian Process and Uncertainty Quantification Summer School 2020
  ☆33Updated 2 years ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• rgiordan / vittles
  "Variational inference tools to leverage estimator sensitivity."
  ☆16Updated 2 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
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆21Updated 4 years ago
• Networks-Learning / strategic-decisions
  Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
  ☆29Updated last year
• jkbren / einet
  Uncertainty and causal emergence in complex networks
  ☆118Updated 3 years ago
• Roth-Lab / pgsm
  ☆12Updated 3 months ago
• darrenjw / smfsb
  Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology
  ☆32Updated 6 months ago
• allgebrist / Causal-Deconvolution-of-Networks
  Causal Deconvolution of Networks by Algorithmic Generative Models
  ☆30Updated 6 years ago
• jg-you / complex-coinfection-inference
  Bayesian inference of effective contagion models from population level data, with STAN
  ☆14Updated 4 years ago
• joelnish / double-edge-swap-mcmc
  Contains methods to uniformly sample graphs with a given degree sequence.
  ☆19Updated 6 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• causalincentives / pycid
  Library for graphical models of decision making, based on pgmpy and networkx
  ☆109Updated last year