Ecosyste.ms: Packages
An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.
juliahub.com "inference" keyword
AlgebraicInference 0.17.6
Bayesian inference on wiring diagrams.43 versions - Latest release: 7 months ago - 17 stars on GitHub
DPMMSubClusters 0.1.13
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning...14 versions - Latest release: almost 2 years ago - 33 stars on GitHub
Top 8.2% on juliahub.com
130 versions - Latest release: 4 months ago - 4 dependent packages - 4 dependent repositories - 72 stars on GitHub
IncrementalInference 0.35.3
Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.130 versions - Latest release: 4 months ago - 4 dependent packages - 4 dependent repositories - 72 stars on GitHub
KernelDensityEstimate 0.5.13
Kernel Density Estimate with product approximation using multiscale Gibbs sampling19 versions - Latest release: 4 months ago - 6 dependent packages - 4 dependent repositories - 23 stars on GitHub
NetworkLearning 0.1.1
Baseline collective classification library2 versions - Latest release: over 5 years ago - 1 dependent repositories - 3 stars on GitHub
ReactiveMP 4.1.1
High-performance reactive message-passing based Bayesian inference engine65 versions - Latest release: 10 days ago - 1 dependent package - 89 stars on GitHub
SimulatedNeuralMoments 3.0.0
package for Bayesian and classical estimation and inference based on statistics that are filtered...17 versions - Latest release: 4 months ago - 21 stars on GitHub
VersatileHDPMixtureModels 0.1.1
Code for our UAI '20 paper "Scalable and Flexible Clustering of Grouped Data via Parallel and Dis...2 versions - Latest release: over 3 years ago - 8 stars on GitHub
Related Keywords
julia
5
bayesian-inference
3
probabilistic-graphical-models
2
message-passing
2
dirichlet-process-mixtures
2
probabilistic-programming
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dirichlet-process
2
adjacency-matrix
1
julialang
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multiscale-gibbs-sampling
1
bayesian
1
gadfly
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isam
1
nonparametric
1
slam
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parametric
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multi-modal
1
factor-graphs
1
state-estimation
1
graph-learning
1
classification
1
collective-classification
1
learners
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variational-inference
1
variational-bayes
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gmm
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estimation
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abc
1
hierarchical-dirichlet-processes
1
paper
1
hdp
1
applied-category-theory
1
bayesian-statistics
1
category-theory
1
hyper-computing
1
mixture-model
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ccgrid
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gaussian
1
multinomial
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distributed-computing
1
hpml
1
machine-learning
1
distributed
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parallel-computing
1
bayes-network
1
belief-propagation
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bayes-tree
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filtering-algorithm
1
sum-product
1
optimization
1
chapman-kolmogorov
1
caesar
1
julia-language
1
robotics
1
multi-hypothesis
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1