Alternatives and similar repositories for tutorials:

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

• mlss-2019 / slides
  ☆259Updated 5 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆273Updated 5 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 4 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆92Updated 5 years ago
• mlss-skoltech / lectures
  repository with the lectures for MLSS Skoltech
  ☆139Updated 5 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆129Updated 4 years ago
• otokonoko8 / deep-Bayesian-nonparametrics-papers
  The collection of papers about combining deep learning and Bayesian nonparametrics
  ☆119Updated 5 years ago
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆392Updated 8 months ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆183Updated 5 years ago
• glouppe / info8004-advanced-machine-learning
  Lectures for INFO8004 Advanced Machine Learning, ULiège
  ☆104Updated 9 months ago
• depthfirstlearning / depthfirstlearning.com
  ☆195Updated 5 months ago
• chrisorm / pydata-2018
  ☆63Updated 6 years ago
• dimenwarper / awesome-bayes
  List of resources for bayesian inference
  ☆155Updated 5 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆131Updated 5 years ago
• UCL-SML / Doubly-Stochastic-DGP
  Deep Gaussian Processes with Doubly Stochastic Variational Inference
  ☆148Updated 5 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆666Updated last year
• hughsalimbeni / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆110Updated 3 years ago
• pukkapies / dl-imperial-maths
  Code and assignment repository for the Imperial College Mathematics department Deep Learning course
  ☆262Updated 5 years ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆148Updated 5 months ago
• authors-1901-10912 / A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms
  Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
  ☆125Updated 5 years ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆359Updated 5 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆94Updated 2 years ago
• leopd / geometric-intuition
  Understanding ML and deep learning through geometry
  ☆158Updated 3 years ago
• google-deepmind / mc_gradients
  ☆163Updated 5 months ago
• team-approx-bayes / dl-with-bayes
  Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
  ☆243Updated 5 years ago
• otokonoko8 / implicit-variational-inference
  The collection of recent papers about variational inference
  ☆85Updated 5 years ago
• microsoft / deterministic-variational-inference
  Sample code for running deterministic variational inference to train Bayesian neural networks
  ☆100Updated 6 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆232Updated 3 years ago
• robi56 / awesome-bayesian-deep-learning
  A curated list of resources dedicated to bayesian deep learning
  ☆413Updated 7 years ago