Alternatives and similar repositories for Bayesian-Methods-for-Machine-Learning

Users that are interested in Bayesian-Methods-for-Machine-Learning are comparing it to the libraries listed below

• tensorchiefs / dl_book
  legend
  ☆210Updated 2 years ago
• PGM-Lab / probai-2021-pyro
  Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
  ☆48Updated 4 years ago
• probabilisticai / probai-2021
  Materials of the Nordic Probabilistic AI School 2021.
  ☆93Updated 4 years ago
• ocontreras309 / ML_Notebooks
  A repository for public Machine Learning notebooks I have created
  ☆78Updated 3 years ago
• AndrewSpano / Disentangled-Variational-Autoencoder
  PyTorch Implementations of a VAE and a beta-VAE.
  ☆60Updated 5 years ago
• mohd-faizy / Probabilistic-Deep-Learning-with-TensorFlow
  Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…
  ☆72Updated 3 weeks ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆93Updated 6 years ago
• izmailovpavel / understandingbdl
  ☆252Updated 3 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆671Updated 2 years ago
• cpark321 / uncertainty-deep-learning
  ☆239Updated 5 years ago
• Rakeshsuku / Medium-Blog
  Code files for my medium blog
  ☆17Updated 5 years ago
• mlss-2019 / tutorials
  ☆275Updated 5 years ago
• SummerSchoolMachineLearning / SMILES2020
  Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…
  ☆55Updated 5 years ago
• Kyushik / Predictive-Uncertainty-Estimation-using-Deep-Ensemble
  This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
  ☆157Updated 3 years ago
• FrancescoSaverioZuppichini / Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDict
  Code for my medium article
  ☆375Updated 5 years ago
• drewwilimitis / Manifold-Learning
  Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…
  ☆253Updated 5 years ago
• hakeemtonalli / deep-kernel-learning
  Implementation of deep kernels in GPyTorch and Pyro
  ☆12Updated 5 years ago
• paraschopra / bayesian-neural-network-mnist
  Bayesian neural network using Pyro and PyTorch on MNIST dataset
  ☆316Updated 7 years ago
• zhulingchen / tfp-tutorial
  TensorFlow Probability Tutorial
  ☆38Updated 6 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆138Updated 5 years ago
• mlss-skoltech / lectures
  repository with the lectures for MLSS Skoltech
  ☆139Updated 6 years ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆181Updated 4 years ago
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆86Updated 7 years ago
• eemlcommunity / PracticalSessions2021
  ☆64Updated 4 years ago
• mvaldenegro / keras-uncertainty
  Utilities to perform Uncertainty Quantification on Keras Models
  ☆119Updated last year
• team-approx-bayes / dl-with-bayes
  Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
  ☆247Updated 6 years ago
• gabrielloye / RNN-walkthrough
  ☆103Updated 6 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆184Updated 6 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆201Updated 3 years ago
• OverLordGoldDragon / see-rnn
  RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
  ☆181Updated last year