Approxbayes.jl
Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Bcpd | 218 | a year ago | 9 | mit | C | |||||
| Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++) | ||||||||||
| Personalizedmultitasklearning | 53 | 4 years ago | Python | |||||||
| Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR). | ||||||||||
| Approxbayes.jl | 44 | 2 years ago | 12 | other | Julia | |||||
| Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia | ||||||||||
| Simpleabc | 29 | 8 years ago | mit | Jupyter Notebook | ||||||
| A Python package for Approximate Bayesian Computation | ||||||||||
| Kerneldensityestimate.jl | 23 | 3 months ago | 11 | lgpl-2.1 | Julia | |||||
| Kernel Density Estimate with product approximation using multiscale Gibbs sampling | ||||||||||
| Bkmr | 23 | 2 | 2 years ago | 4 | March 28, 2022 | 7 | R | |||
| Bayesian kernel machine regression | ||||||||||
| Gpsig | 14 | 3 years ago | 1 | apache-2.0 | Jupyter Notebook | |||||
| Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances | ||||||||||
| Bayesian Ntk | 13 | 3 years ago | Jupyter Notebook | |||||||
| Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel' | ||||||||||
| Bmtmkl | 13 | 6 years ago | R | |||||||
| Bayesian Multitask Multiple Kernel Learning | ||||||||||
| Herding Paper | 11 | 8 years ago | mit | TeX | ||||||
| Optimally-weighted herding is Bayesian Quadrature | ||||||||||
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