Alternatives and similar repositories for PyProcess

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

• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆77Updated 3 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆61Updated 8 years ago
• croquelois / BlackScholesMC-TF
  BlackScholes Model, with Montecarlo implmented in python with TensorFlow
  ☆17Updated 9 years ago
• steve98654 / PyTalk
  Files for Python Talk
  ☆24Updated 9 years ago
• andreas-h / pyloess
  loess smoother / stl seasonal trend decomposition, originally from scipy.sandbox.pyloess
  ☆56Updated 7 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 9 years ago
• ibab / python-mle
  A Python package for performing Maximum Likelihood Estimates
  ☆128Updated 5 years ago
• robertnishihara / gess
  An MCMC algorithm for sampling continuous probability distributions in parallel
  ☆19Updated 10 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆168Updated 2 years ago
• dolaameng / pysax
  python implementation of SAX (Symbolic Aggregate Approximation) for time series data
  ☆45Updated 10 years ago
• CoAxLab / DeBaCl
  Density Based Clustering (DeBaCl) Toolbox
  ☆101Updated 4 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 8 years ago
• quantopian / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…
  ☆75Updated 8 years ago
• ffx-org / ffx
  Fast Function Extraction
  ☆85Updated last month
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• selective-inference / Python-software
  Python software for selective inference
  ☆52Updated 2 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆222Updated last year
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆42Updated 6 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆50Updated 9 years ago
• parsing-science / pymc3_models
  ☆159Updated 2 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago
• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated last year
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated last month
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 10 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• sigopt / sigopt-python
  Simple Python interface for the SigOpt API
  ☆70Updated last month