probai-2021Materials of the Nordic Probabilistic AI School 2021.
Stars: ✭ 83 (-34.65%)
Mutual labels: bayesian, probabilistic-models, summer-school, deep-generative-models, probabilistic-machine-learning, probabilistic-ai
Statistical RethinkingAn interactive online reading of McElreath's Statistical Rethinking
Stars: ✭ 123 (-3.15%)
Mutual labels: bayesian
Dynamichmc.jlImplementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Stars: ✭ 172 (+35.43%)
Mutual labels: bayesian
Dl Uncertainty"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
Stars: ✭ 130 (+2.36%)
Mutual labels: bayesian
Correlation🔗 Methods for Correlation Analysis
Stars: ✭ 192 (+51.18%)
Mutual labels: bayesian
Gen.jlA general-purpose probabilistic programming system with programmable inference
Stars: ✭ 1,595 (+1155.91%)
Mutual labels: bayesian
flowtorch-oldSeparating Normalizing Flows code from Pyro and improving API
Stars: ✭ 36 (-71.65%)
Mutual labels: probabilistic-models
ElfiELFI - Engine for Likelihood-Free Inference
Stars: ✭ 208 (+63.78%)
Mutual labels: bayesian
Shinystanshinystan R package and ShinyStan GUI
Stars: ✭ 172 (+35.43%)
Mutual labels: bayesian
Naive Bayes Classifieryet another general purpose naive bayesian classifier.
Stars: ✭ 162 (+27.56%)
Mutual labels: bayesian
PecanThe Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Stars: ✭ 132 (+3.94%)
Mutual labels: bayesian
PygpgoBayesian optimization for Python
Stars: ✭ 196 (+54.33%)
Mutual labels: bayesian
HbayesdmHierarchical Bayesian modeling of RLDM tasks, using R & Python
Stars: ✭ 124 (-2.36%)
Mutual labels: bayesian
Probabilistic ModelsCollection of probabilistic models and inference algorithms
Stars: ✭ 217 (+70.87%)
Mutual labels: bayesian
BayesiantrackerBayesian multi-object tracking
Stars: ✭ 121 (-4.72%)
Mutual labels: bayesian
Miscellaneous R CodeCode that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.
Stars: ✭ 146 (+14.96%)
Mutual labels: bayesian
StanStan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Stars: ✭ 2,177 (+1614.17%)
Mutual labels: bayesian
HierarchicalProbabilistic3DHumanCode repository for the paper: Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild (ICCV 2021)
Stars: ✭ 151 (+18.9%)
Mutual labels: probabilistic-machine-learning
pytorch-convcnpA PyTorch Implementation of Convolutional Conditional Neural Process.
Stars: ✭ 41 (-67.72%)
Mutual labels: deep-generative-models