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
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆77Updated 2 years ago
• jakevdp / supersmoother
  Efficient pure Python implementation of Friedman's Supersmoother
  ☆86Updated 2 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆50Updated 9 years ago
• JackKelly / bayesianchangepoint
  An implementation of Adams & MacKay 2007 "Bayesian Online Changepoint Detection"
  ☆31Updated 10 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆42Updated 6 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆177Updated last year
• 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
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 7 years ago
• ColCarroll / sampled
  Decorator for PyMC3
  ☆50Updated 3 years ago
• RJT1990 / PyData2016-SanFrancisco
  A Tour of Time Series Analysis
  ☆23Updated 8 years ago
• ChadFulton / pymar
  Markov Switching Models for Statsmodels
  ☆23Updated 8 years ago
• CoAxLab / DeBaCl
  Density Based Clustering (DeBaCl) Toolbox
  ☆101Updated 4 years ago
• thalesians / bayestsa
  A Python library implementing Bayesian methods for solving estimation and forecasting problems in time series analysis
  ☆21Updated 8 years ago
• dolaameng / pysax
  python implementation of SAX (Symbolic Aggregate Approximation) for time series data
  ☆45Updated 10 years ago
• isadoranun / FATS
  ☆74Updated last year
• dask / dask-glm
  ☆76Updated 9 months ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• ZmeiGorynych / talks
  ☆17Updated 8 years ago
• andreas-h / pyloess
  loess smoother / stl seasonal trend decomposition, originally from scipy.sandbox.pyloess
  ☆56Updated 7 years ago
• twiecki / pymc3_talk
  Bayesian Analysis in PyMC3.
  ☆79Updated 10 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆128Updated 9 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆167Updated 2 years ago
• GGiecold-zz / pyRMT
  Python for Random Matrix Theory: cleaning schemes for noisy correlation matrices.
  ☆74Updated 7 years ago
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated 10 months ago
• andim / noisyopt
  Python library for optimizing noisy functions.
  ☆87Updated 2 years ago