| dilinwang820/Stein-Variational-Gradient-Descent |
261 |
|
0 |
0 |
about 7 years ago |
0 |
|
1 |
mit |
Python |
| code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm" |
| josejimenezluna/pyGPGO |
214 |
|
1 |
0 |
about 4 years ago |
5 |
July 27, 2021 |
6 |
mit |
Python |
| Bayesian optimization for Python |
| wlwkgus/NoisyNaturalGradient |
115 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
|
Python |
| Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference" |
| otokonoko8/implicit-variational-inference |
67 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
|
| The collection of recent papers about variational inference |
| ruqizhang/csgmcmc |
54 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning |
| david-cortes/poismf |
43 |
|
0 |
0 |
over 2 years ago |
36 |
August 08, 2023 |
0 |
bsd-2-clause |
C |
| (Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems) |
| slinderman/theano_pyglm |
41 |
|
0 |
0 |
over 11 years ago |
0 |
|
3 |
mit |
Python |
| Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and network priors. |
| tpapp/LogDensityProblems.jl |
34 |
|
0 |
0 |
about 3 years ago |
0 |
|
5 |
other |
Julia |
| A common framework for implementing and using log densities for inference. |
| henripal/sgld |
33 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| akshaykgupta/SG_MCMC |
31 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
mit |
Python |
| Implementation of Stochastic Gradient MCMC algorithms |
