Zigzagboomerang.jl
Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Zigzagboomerang.jl | 83 | 2 years ago | 17 | mit | Julia | |||||
| Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection | ||||||||||
| Noisynaturalgradient | 56 | 5 years ago | 1 | Python | ||||||
| TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC" | ||||||||||
| Logdensityproblems.jl | 34 | a year ago | 5 | other | Julia | |||||
| A common framework for implementing and using log densities for inference. | ||||||||||
| Pysgmcmc | 23 | 6 years ago | Python | |||||||
| Stochastic Gradient MCMC Methods for Tensorflow | ||||||||||
| Noisy K Fac | 20 | 4 years ago | apache-2.0 | Python | ||||||
| Natural Gradient, Variational Inference | ||||||||||
| Robustbnns | 12 | 2 years ago | Python | |||||||
| Code for paper "Robustness of Bayesian Neural Networks to Gradient-Based Attacks" | ||||||||||
| Svgd_tf | 6 | 5 years ago | Python | |||||||
| Implementation of Stein Variational Gradient Descent with TensorFlow 2.0 | ||||||||||
| Svpg_tensorflow | 5 | 6 years ago | 1 | mit | Python | |||||
| Tensorflow Implementation of Stein Variational Policy Gradients | ||||||||||
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