| ohirose/bcpd |
218 |
|
0 |
0 |
about 3 years ago |
0 |
|
9 |
mit |
C |
| Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++) |
| mitmedialab/PersonalizedMultitaskLearning |
53 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR). |
| marcjwilliams1/ApproxBayes.jl |
44 |
|
0 |
0 |
over 3 years ago |
0 |
|
12 |
other |
Julia |
| Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia |
| rcmorehead/simpleabc |
29 |
|
0 |
0 |
almost 10 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| A Python package for Approximate Bayesian Computation |
| jenfb/bkmr |
23 |
|
0 |
2 |
about 4 years ago |
4 |
March 28, 2022 |
7 |
|
R |
| Bayesian kernel machine regression |
| JuliaRobotics/KernelDensityEstimate.jl |
23 |
|
0 |
0 |
about 2 years ago |
0 |
|
11 |
lgpl-2.1 |
Julia |
| Kernel Density Estimate with product approximation using multiscale Gibbs sampling |
| tgcsaba/GPSig |
14 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
apache-2.0 |
Jupyter Notebook |
| Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances |
| bobby-he/bayesian-ntk |
13 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel' |
| mehmetgonen/bmtmkl |
13 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
R |
| Bayesian Multitask Multiple Kernel Learning |
| duvenaud/herding-paper |
11 |
|
0 |
0 |
almost 10 years ago |
0 |
|
0 |
mit |
TeX |
| Optimally-weighted herding is Bayesian Quadrature |
