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
- Stochastic Gradient MCMC algorithms implemented in theano (and autograd)☆10Jan 24, 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
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- A variational method for fast, approximate inference for stochastic differential equations.☆45Feb 3, 2026Updated last month
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆109Feb 9, 2018Updated 8 years ago
- code for stochastic expectation propagation☆16Oct 30, 2015Updated 10 years ago
- Black Box Variational Inference☆14May 22, 2015Updated 10 years ago
- The code in this repository follows the paper "Stochastic gradient MCMC"☆26Jul 16, 2019Updated 6 years ago
- Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent☆10Nov 19, 2020Updated 5 years ago
- A pyTorch implementation of models used for Recognizing Textual Entailment using the SNLI corpus☆33Aug 12, 2017Updated 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
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- 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 4 months ago
- Implementation of Residual Learning with Stochastic Depth http://arxiv.org/pdf/1603.09382v2.pdf☆10Jun 6, 2016Updated 9 years 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 8 years ago
- Nehe Tutorials in Clojure using Penumbra☆29Sep 21, 2010Updated 15 years ago
- Feasible target propagation code for the paper "Deep Learning as a Mixed Convex-Combinatorial Optimization Problem" by Friesen & Domingos…☆28Apr 12, 2018Updated 7 years ago
- A command line utility to create kernels in Jupyter from virtual environments.☆16Nov 7, 2017Updated 8 years ago
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- Materials for the 2017 QMSS Python Workshop☆12Jun 22, 2017Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆31Mar 29, 2015Updated 11 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆15Jun 22, 2019Updated 6 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Aug 2, 2024Updated last year
- Implementation of DEFT as a fork of RED-diff.☆15Dec 6, 2024Updated last year
- A framework for Bayesian optimization of composite functions.☆15Dec 8, 2022Updated 3 years ago
- A probabilistic programming framework based on TensorFlow☆88Apr 29, 2019Updated 6 years ago
- Poisson-Gamma dynamical systems☆18Feb 25, 2026Updated last month
- 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
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Hierarchical Mixture of Experts,Mixture Density Neural Network☆45Mar 31, 2017Updated 8 years ago
- Heuristic Dynamic Programming with Python☆14Jul 28, 2014Updated 11 years ago
- Black Box Variational Inference for Bayesian logistic regression☆18Apr 1, 2017Updated 8 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 3 months ago
- Stochastic Gradient Riemannian Langevin Dynamics☆35May 29, 2015Updated 10 years ago
- Image mapping using the LDDMM algorithm, implemented in tensorflow☆17Aug 18, 2021Updated 4 years ago