Alternatives and similar repositories for probai-2021

Users that are interested in probai-2021 are comparing it to the libraries listed below

• 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
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 3 years ago
• izmailovpavel / understandingbdl
  ☆252Updated 3 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆91Updated 2 years ago
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆152Updated 5 years ago
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆95Updated last week
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆43Updated 3 years ago
• ratschlab / bnn_priors
  Code for the paper "Bayesian Neural Network Priors Revisited"
  ☆60Updated 4 years ago
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆92Updated last year
• freelunchtheorem / Conditional_Density_Estimation
  Python and torch-based package implementing various parametric and nonparametric methods for conditional density estimation
  ☆197Updated last month
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆233Updated 5 years ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆121Updated 4 years ago
• TyXe-BDL / TyXe
  ☆156Updated 3 years ago
• GAMES-UChile / The_Art_of_Gaussian_Processes
  ☆41Updated last month
• TeaPearce / Bayesian_NN_Ensembles
  AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'
  ☆90Updated 5 years ago
• drewwilimitis / Manifold-Learning
  Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…
  ☆251Updated 5 years ago
• acmi-lab / cmu-10721-philosophy-machine-intelligence
  Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".
  ☆262Updated 2 years ago
• hughsalimbeni / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆112Updated 4 years ago
• cambridge-mlg / DUN
  Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
  ☆78Updated 2 years ago
• wjmaddox / drbayes
  Code Repo for "Subspace Inference for Bayesian Deep Learning"
  ☆83Updated last year
• ruqizhang / csgmcmc
  Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
  ☆93Updated 5 years ago
• team-approx-bayes / dnn2gp
  Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)
  ☆48Updated 6 years ago
• M2Lschool / tutorials2021
  Mediterranean Machine Learning school tutorials
  ☆93Updated 5 years ago
• otokonoko8 / deep-Bayesian-nonparametrics-papers
  The collection of papers about combining deep learning and Bayesian nonparametrics
  ☆122Updated 6 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 4 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆130Updated 5 years ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆464Updated last year
• g-benton / loss-surface-simplexes
  ☆100Updated 4 years ago
• eemlcommunity / PracticalSessions2021
  ☆64Updated 4 years ago