Alternatives and similar repositories for dl-workshop:

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

• fonnesbeck / Bayes_Computing_Course
  ☆230Updated 3 years ago
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆91Updated 3 years ago
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 3 years ago
• rlouf / mcx
  Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
  ☆329Updated last year
• cgarciae / treex
  A Pytree Module system for Deep Learning in JAX
  ☆213Updated 2 years ago
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆69Updated 4 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆125Updated 5 years ago
• ColCarroll / minimc
  Just a little MCMC
  ☆223Updated 8 months ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆448Updated 10 months ago
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆557Updated last year
• pyscaffold / pyscaffoldext-dsproject
  💫 PyScaffold extension for data-science projects
  ☆157Updated 2 weeks ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆129Updated 4 years ago
• tensorchiefs / dl_book
  legend
  ☆198Updated last year
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆198Updated 3 months ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆273Updated 3 years ago
• martindurant / dask-tutorial-scipy-2018
  Materials for "Parallelizing Scientific Python with Dask"
  ☆70Updated 6 years ago
• darrenjw / fp-ssc-course
  An introduction to functional programming for scalable statistical computing
  ☆73Updated 8 months ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 10 months ago
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆453Updated last year
• wesselb / stheno
  Gaussian process modelling in Python
  ☆222Updated 3 months ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• fastai / fastdoc
  Create publication-quality books from Jupyter notebooks
  ☆236Updated last year
• elzurdo / multi_objective_optimisation
  Material for learning and practicing the technique of multi-objective optimisation
  ☆59Updated 5 months ago
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆330Updated 2 months ago
• minitorch / minitorch.github.io
  Docs
  ☆143Updated 3 months ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆239Updated 6 years ago
• SymJAX / SymJAX
  Documentation:
  ☆119Updated last year
• firasm / jupyterbook_course_template
  Template for Jupyterbook Syllabus
  ☆55Updated last year
• ericmjl / bayesian-stats-modelling-tutorial
  How to do Bayesian statistical modelling using numpy and PyMC3
  ☆662Updated 2 years ago
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated last year