Alternatives and similar repositories for awesome-bayes

Users that are interested in awesome-bayes are comparing it to the libraries listed below

• fehiepsi / rethinking-pyro
  Statistical Rethinking with PyTorch and Pyro
  ☆164Updated 5 months ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆123Updated 7 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆129Updated 5 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆149Updated last year
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆43Updated 6 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆232Updated 3 years ago
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆461Updated 5 months ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 7 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆116Updated last year
• mlss-2019 / tutorials
  ☆275Updated 5 years ago
• AI-DI / Brancher
  A user-centered Python package for differentiable probabilistic inference
  ☆203Updated 5 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆95Updated 2 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆272Updated 3 years ago
• glouppe / info8004-advanced-machine-learning
  Lectures for INFO8004 Advanced Machine Learning, ULiège
  ☆113Updated 6 months ago
• mlss-2019 / slides
  ☆259Updated 6 years ago
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• ColCarroll / imcmc
  Image Markov Chain Monte Carlo
  ☆245Updated 3 years ago
• leopd / geometric-intuition
  Understanding ML and deep learning through geometry
  ☆158Updated 3 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 5 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• ColCarroll / minimc
  Just a little MCMC
  ☆231Updated last year
• rmgarnett / cse515t
  Materials for Bayesian Methods in Machine Learning Course
  ☆90Updated this week
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated last year
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆248Updated 3 months ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 6 years ago
• AM207 / 2018fall
  ☆38Updated 4 years ago