Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Bcpd | 218 | 2 months 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 | a year ago | 12 | other | Julia | |||||
Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia | ||||||||||
Simpleabc | 29 | 7 years ago | mit | Jupyter Notebook | ||||||
A Python package for Approximate Bayesian Computation | ||||||||||
Bkmr | 23 | a year ago | 7 | R | ||||||
Bayesian kernel machine regression | ||||||||||
Kerneldensityestimate.jl | 22 | 10 months ago | 10 | lgpl-2.1 | Julia | |||||
Kernel Density Estimate with product approximation using multiscale Gibbs sampling | ||||||||||
Gpsig | 14 | 3 years ago | 1 | apache-2.0 | Jupyter Notebook | |||||
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances | ||||||||||
Bmtmkl | 13 | 5 years ago | R | |||||||
Bayesian Multitask Multiple Kernel Learning | ||||||||||
Bayesian Ntk | 13 | 2 years ago | Jupyter Notebook | |||||||
Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel' | ||||||||||
Herding Paper | 11 | 7 years ago | mit | TeX | ||||||
Optimally-weighted herding is Bayesian Quadrature |
A Python package for Approximate Bayesian Computation Version 0.2.0
Clone this repo with git.
SSH
git clone [email protected]:rcmorehead/SIMPLE-ABC.git
HTTPS
git clone https://github.com/rcmorehead/SIMPLE-ABC.git
Maybe one day I'll set up pip, if you are lucky
###ABC Sunnåker et al. - Approximate Bayesian Computation
###Population Monte Carlo for ABC
Beaumont et al. -Adaptive approximate Bayesian computation
arxiv version