Implementation of Stochastic Gradient MCMC algorithms
☆41Dec 7, 2016Updated 9 years ago
Alternatives and similar repositories for SG_MCMC
Users that are interested in SG_MCMC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Stochastic Gradient Markov Chain Monte Carlo and Optimisation☆17Mar 21, 2017Updated 9 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Sep 6, 2021Updated 4 years ago
- An MCMC algorithm for sampling continuous probability distributions in parallel☆20Feb 24, 2015Updated 11 years ago
- Jax-based MaxEnt☆17Nov 24, 2019Updated 6 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆109Feb 9, 2018Updated 8 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- code for stochastic expectation propagation☆17Oct 30, 2015Updated 10 years ago
- Black Box Variational Inference☆14May 22, 2015Updated 11 years ago
- The code in this repository follows the paper "Stochastic gradient MCMC"☆27Jul 16, 2019Updated 6 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Feb 29, 2016Updated 10 years ago
- Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent☆10Nov 19, 2020Updated 5 years ago
- This repo contain the exercies of the Next.ML 2015 presentation☆24Jan 17, 2015Updated 11 years ago
- Unrolled Generative Adversarial Networks☆294Feb 23, 2018Updated 8 years ago
- Bayesian nonparametrics in Julia☆10Dec 2, 2016Updated 9 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Jun 15, 2017Updated 8 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Deep exponential family models in MXNet/Gluon. Layers o' latents 💤☆17Oct 16, 2017Updated 8 years ago
- Variational Bayes for NN in Torch7 (http://papers.nips.cc/paper/4329-practical-variational-inference-for-neural-networks.pdf)☆10Mar 23, 2015Updated 11 years ago
- Julia implementations of temporal difference Reinforcement Learning algorithms like Q-Learning and SARSA☆13Nov 16, 2025Updated 6 months ago
- Repo for a paper about constructing priors on very deep models.☆73Jul 8, 2016Updated 9 years ago
- Implementation of Counterfactual risk minimization☆26Apr 13, 2017Updated 9 years ago
- Nehe Tutorials in Clojure using Penumbra☆29Sep 21, 2010Updated 15 years ago
- NeurIPS 2019 Paper☆12Dec 9, 2019Updated 6 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Mar 12, 2021Updated 5 years ago
- A command line utility to create kernels in Jupyter from virtual environments.☆16Nov 7, 2017Updated 8 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Expectation Particle Belief Propagation code☆13Oct 8, 2018Updated 7 years ago
- Look Ahead Hamiltonian Monte Carlo☆31Mar 29, 2015Updated 11 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆16Jun 22, 2019Updated 6 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Aug 2, 2024Updated last year
- Theano☆11Aug 26, 2017Updated 8 years ago
- ☆14Apr 5, 2023Updated 3 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Jan 2, 2021Updated 5 years ago
- Pitman-Yor processes in python☆26Apr 18, 2014Updated 12 years ago
- Stochastic Variance Reduction Policy Gradient Estimation☆11Nov 6, 2018Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- These are experiments for examining reproducibility in Policy Gradient RL algorithms in Continuous domains. Mainly using the Rllab implem…☆17Sep 20, 2017Updated 8 years ago
- Hierarchical Mixture of Experts,Mixture Density Neural Network☆45Mar 31, 2017Updated 9 years ago
- Black Box Variational Inference for Bayesian logistic regression☆18Apr 1, 2017Updated 9 years ago
- ☆11Jun 17, 2016Updated 9 years ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Dec 19, 2025Updated 5 months ago
- Stochastic Gradient Riemannian Langevin Dynamics☆35May 29, 2015Updated 11 years ago
- Gradient Estimation in Stochastic Computation Graphs using TensorFlow.☆17Dec 20, 2017Updated 8 years ago