Alternatives and similar repositories for dl-workshop

Users that are interested in dl-workshop are comparing it to the libraries listed below

• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆126Updated 5 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆230Updated 3 years ago
• rlouf / mcx
  Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
  ☆330Updated last year
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆271Updated 3 years ago
• cgarciae / treex
  A Pytree Module system for Deep Learning in JAX
  ☆214Updated 2 years ago
• ericmjl / essays-on-data-science
  In which I put together my thoughts on the practice of data science.
  ☆296Updated last year
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆557Updated last year
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆457Updated last week
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆70Updated 4 years ago
• ColCarroll / minimc
  Just a little MCMC
  ☆226Updated 10 months ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆228Updated 4 years ago
• fastai / nbdev_template
  Template for nbdev projects
  ☆313Updated 2 years ago
• fastai / fastdoc
  Create publication-quality books from Jupyter notebooks
  ☆235Updated 2 years ago
• ericmjl / bayesian-stats-modelling-tutorial
  How to do Bayesian statistical modelling using numpy and PyMC3
  ☆664Updated 2 years ago
• SymJAX / SymJAX
  Documentation:
  ☆119Updated last year
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 3 years ago
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆199Updated 5 months ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆157Updated 5 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆174Updated 2 years ago
• ecotner / statistical-rethinking
  Following along with Statistical Rethinking text on Bayesian modeling by McElreath
  ☆62Updated 4 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 6 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• chrisjsewell / ipypublish
  A workflow for creating and editing publication ready scientific reports and presentations, from one or more Jupyter Notebooks, without l…
  ☆224Updated 3 years ago
• scikit-learn-contrib / project-template
  A template for scikit-learn extensions
  ☆333Updated 3 months ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 11 months ago
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆58Updated 6 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆130Updated 5 years ago
• godatadriven / evol
  a python grammar for evolutionary algorithms and heuristics
  ☆189Updated 3 years ago