Alternatives and similar repositories for pymc

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

• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,464Updated 4 months ago
• statsmodels / statsmodels
  Statsmodels: statistical modeling and econometrics in Python
  ☆10,841Updated 2 weeks ago
• arviz-devs / arviz
  Exploratory analysis of Bayesian models with Python
  ☆1,708Updated 3 weeks ago
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,361Updated 5 months ago
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,830Updated 3 weeks ago
• pgmpy / pgmpy
  Python Library for Causal and Probabilistic Modeling using Bayesian Networks
  ☆3,009Updated this week
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,839Updated last year
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,046Updated last month
• pymc-devs / pymc-resources
  PyMC educational resources
  ☆2,024Updated 7 months ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,452Updated 2 months ago
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,087Updated last week
• scikit-learn-contrib / sklearn-pandas
  Pandas integration with sklearn
  ☆2,838Updated 2 years ago
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,352Updated 2 months ago
• dask / dask
  Parallel computing with task scheduling
  ☆13,370Updated this week
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,499Updated 2 weeks ago
• 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…
  ☆27,643Updated last year
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,783Updated last year
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,331Updated this week
• markdregan / Bayesian-Modelling-in-Python
  A python tutorial on bayesian modeling techniques (PyMC3)
  ☆2,505Updated 8 years ago
• vega / altair
  Declarative visualization library for Python
  ☆9,908Updated 2 weeks ago
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆7,020Updated last month
• bambinos / bambi
  BAyesian Model-Building Interface (Bambi) in Python.
  ☆1,184Updated 2 weeks ago
• pymc-devs / pymc4
  (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
  ☆712Updated 3 years ago
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,132Updated last year
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,106Updated last month
• CamDavidsonPilon / lifelines
  Survival analysis in Python
  ☆2,476Updated 9 months ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,771Updated 3 months ago
• numba / numba
  NumPy aware dynamic Python compiler using LLVM
  ☆10,552Updated last week
• vaexio / vaex
  Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…
  ☆8,416Updated 9 months ago
• has2k1 / plotnine
  A Grammar of Graphics for Python
  ☆4,312Updated this week