Alternatives and similar repositories for pymc

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

• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,374Updated this week
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,470Updated 6 months ago
• arviz-devs / arviz
  Exploratory analysis of Bayesian models with Python
  ☆1,718Updated 2 weeks ago
• pgmpy / pgmpy
  Python library for causal inference. Supports causal discovery, identification, effect estimation, prediction, and simulation with a scik…
  ☆3,037Updated this week
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,848Updated 2 months ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,792Updated last year
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,835Updated last year
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,524Updated this week
• statsmodels / statsmodels
  Statsmodels: statistical modeling and econometrics in Python
  ☆10,931Updated 2 weeks ago
• markdregan / Bayesian-Modelling-in-Python
  A python tutorial on bayesian modeling techniques (PyMC3)
  ☆2,507Updated 8 years ago
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,347Updated last week
• CamDavidsonPilon / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…
  ☆27,853Updated last year
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,060Updated 2 months ago
• py-why / dowhy
  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…
  ☆7,696Updated 2 weeks ago
• CamDavidsonPilon / lifelines
  Survival analysis in Python
  ☆2,489Updated 10 months ago
• pymc-devs / pymc-resources
  PyMC educational resources
  ☆2,028Updated 8 months ago
• joblib / joblib
  Computing with Python functions.
  ☆4,211Updated 2 weeks ago
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,134Updated last year
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,112Updated 2 months ago
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,374Updated 6 months ago
• stan-dev / pystan2
  PyStan, the Python interface to Stan
  ☆928Updated 4 years ago
• bambinos / bambi
  BAyesian Model-Building Interface (Bambi) in Python.
  ☆1,196Updated this week
• pymc-devs / pymc4
  (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
  ☆712Updated 3 years ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,468Updated 3 months ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,890Updated 3 months ago
• avehtari / BDA_py_demos
  Bayesian Data Analysis demos for Python
  ☆1,016Updated this week
• blue-yonder / tsfresh
  Automatic extraction of relevant features from time series:
  ☆8,948Updated last week
• holoviz / holoviews
  With Holoviews, your data visualizes itself.
  ☆2,821Updated this week
• pymc-devs / pymc2
  THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
  ☆877Updated 5 years ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,775Updated 4 months ago