| brain-research/l2hmc |
167 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
apache-2.0 |
Jupyter Notebook |
| TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network |
| mrc-ide/COVID19_CFR_submission |
69 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
mit |
R |
| Repository for all scripts required to replicate the CFR analysis for paper submission. |
| luanfujun/Langevin-MCMC |
29 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
mit |
C |
| Code for SIGGRAPH 2020 paper "Langevin Monte Carlo Rendering with Gradient-based Adaptation" |
| WenboGong/MetaSGMCMC |
22 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Roff |
| The code for Meta Learning for SGMCMC |
| dfm/emcee3 |
21 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
TeX |
| DEPRECATED: use dfm/emcee version 3 instead |
| mgorinova/autoreparam |
20 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| Automatic Reparameterisation of Probabilistic Programs |
| eggplantbren/DNest3 |
20 |
|
0 |
0 |
almost 10 years ago |
0 |
|
6 |
gpl-3.0 |
C++ |
| Diffusive Nested Sampling |
| jan-rybizki/Chempy |
19 |
|
0 |
0 |
over 4 years ago |
0 |
|
5 |
mit |
Jupyter Notebook |
| Start with the Chempy tutorial |
| carlobaldassi/RRRMC.jl |
11 |
|
0 |
0 |
about 4 years ago |
0 |
|
2 |
other |
Julia |
| Reduced-Rejection-Rate Monte Carlo for Ising spin models |
| thiery-lab/manifold-mcmc-for-diffusions |
10 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models' |
