Klara.jl
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Sampyl | 277 | 3 years ago | 15 | mit | Python | |||||
| MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice | ||||||||||
| Klara.jl | 161 | 6 years ago | April 30, 2018 | 25 | other | Julia | ||||
| MCMC inference in Julia | ||||||||||
| Machine Learning Numpy | 84 | 5 years ago | mit | Jupyter Notebook | ||||||
| Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more! | ||||||||||
| Csgmcmc | 54 | 3 years ago | 2 | Jupyter Notebook | ||||||
| Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning | ||||||||||
| Logdensityproblems.jl | 34 | a year ago | 5 | other | Julia | |||||
| A common framework for implementing and using log densities for inference. | ||||||||||
| Sg_mcmc | 31 | 7 years ago | mit | Python | ||||||
| Implementation of Stochastic Gradient MCMC algorithms | ||||||||||
| Langevin Mcmc | 29 | 4 years ago | mit | C | ||||||
| Code for SIGGRAPH 2020 paper "Langevin Monte Carlo Rendering with Gradient-based Adaptation" | ||||||||||
| Psgld | 26 | 6 years ago | 1 | Matlab | ||||||
| AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD) | ||||||||||
| Sgmcmc | 25 | 3 years ago | 6 | May 01, 2019 | 2 | gpl-3.0 | R | |||
| sgmcmc: a stochastic gradient MCMC package for R | ||||||||||
| Pysgmcmc | 23 | 6 years ago | Python | |||||||
| Stochastic Gradient MCMC Methods for Tensorflow | ||||||||||
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