Alternatives and similar repositories for dats0001-foundations-of-data-science

Users that are interested in dats0001-foundations-of-data-science are comparing it to the libraries listed below

• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆73Updated 4 years ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆220Updated 3 months ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆41Updated last week
• ColCarroll / minimc
  Just a little MCMC
  ☆227Updated last year
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆210Updated last year
• danielward27 / flowjax
  ☆180Updated last month
• adonath / gmmx
  Gaussian Mixture Models in Jax
  ☆22Updated 3 weeks ago
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆193Updated last week
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆64Updated 9 months ago
• smsharma / sbi-lecture-mit
  Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.
  ☆58Updated last year
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆250Updated last week
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆67Updated 5 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• ecotner / statistical-rethinking
  Following along with Statistical Rethinking text on Bayesian modeling by McElreath
  ☆65Updated 4 years ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆199Updated last year
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆315Updated last week
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆32Updated 2 years ago
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated last month
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆35Updated 2 years ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆276Updated 3 weeks ago
• JakobRobnik / MicroCanonicalHMC
  MCHMC: sampler from an arbitrary differentiable distribution
  ☆73Updated 3 months ago
• ziatdinovmax / NeuroBayes
  Fully and Partially Bayesian Neural Nets
  ☆75Updated 3 months ago
• QuantEcon / lecture-jax
  Lectures on Quantitative Economics Using JAX
  ☆38Updated this week
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆130Updated 11 months ago
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆95Updated 3 months ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• canyon289 / ssm_book_club
  ☆17Updated 2 years ago