marcharper / stationary

Related projects ⓘ

Alternatives and complementary repositories for stationary

• mirzaevinom / egtplot
  egtplot: A python package for 3-Strategy Evolutionary Games
  ☆49Updated 5 years ago
• gvanderheide / discreteMarkovChain
  Calculate the steady state distribution of a discrete Markov chain in Python.
  ☆45Updated 6 years ago
• lordgrilo / Holes
  A Python module for detecting, analysing and visualising persistent homological features of complex networks
  ☆29Updated 3 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• phobson / paramnormal
  Conventionally parameterized probability distributions
  ☆35Updated 2 months ago
• rcmorehead / simpleabc
  A Python package for Approximate Bayesian Computation
  ☆36Updated 8 years ago
• PredictiveScienceLab / py-design
  Design of random experiments in Python
  ☆26Updated 5 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 4 years ago
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 5 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 3 years ago
• andim / noisyopt
  Python library for optimizing noisy functions.
  ☆87Updated 2 years ago
• ColCarroll / sampled
  Decorator for PyMC3
  ☆50Updated 3 years ago
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆27Updated 2 years ago
• marcharper / pyed
  Computes trajectories for evolutionary dynamics.
  ☆12Updated 4 years ago
• hackl / network2tikz
  A converter that takes a network (cnet, igraph, networkx, pathpy, ...) and creates a tikz-network for smooth integration into LaTeX.
  ☆52Updated 3 years ago
• elfi-dev / notebooks
  Notebook tutorials
  ☆14Updated last year
• eth-cscs / abcpy
  ABCpy package
  ☆113Updated 6 months ago
• arviz-devs / simulation_based_calibration
  Implementation of simulation based calibration for PyMC and Bambi
  ☆32Updated 2 months ago
• optimizers / nlpy
  A Python package for optimization
  ☆59Updated 9 years ago
• ColCarroll / carpo
  Run and time jupyter notebooks
  ☆12Updated last year
• aseyboldt / covadapt
  Low rank adaptation of covariance matrices for nuts sampling in pymc3
  ☆14Updated 2 years ago
• sods / paramz
  Parameterization Framework for parameterized model creation and handling.
  ☆47Updated 10 months ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 5 months ago
• h5io / h5io
  Read and write simple Python objects using HDF5
  ☆21Updated this week
• PythonOptimizers / NLP.py
  A Python environment for large-scale optimization.
  ☆29Updated 7 years ago
• cranmer / active_sciencing
  active learning + reusable workflows + likelihood free inference
  ☆59Updated 7 years ago
• arviz-devs / Exploratory-Analysis-of-Bayesian-Models
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆17Updated last week
• diana-hep / carl
  Likelihood-free inference toolbox.
  ☆57Updated 7 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
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago