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
- 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
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆36Sep 16, 2018Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆109Feb 9, 2018Updated 8 years ago
- code for stochastic expectation propagation☆17Oct 30, 2015Updated 10 years ago
- Black Box Variational Inference☆14May 22, 2015Updated 11 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
- 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 9 years ago
- Deep exponential family models in MXNet/Gluon. Layers o' latents 💤☆17Oct 16, 2017Updated 8 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Implementation of Residual Learning with Stochastic Depth http://arxiv.org/pdf/1603.09382v2.pdf☆10Jun 6, 2016Updated 10 years ago
- Repo for a paper about constructing priors on very deep models.☆73Jul 8, 2016Updated 10 years ago
- Implementation of Counterfactual risk minimization☆26Apr 13, 2017Updated 9 years ago
- NeurIPS 2019 Paper☆12Dec 9, 2019Updated 6 years ago
- A command line utility to create kernels in Jupyter from virtual environments.☆16Nov 7, 2017Updated 8 years ago
- Expectation Particle Belief Propagation code☆13Oct 8, 2018Updated 7 years ago
- Look Ahead Hamiltonian Monte Carlo☆31Mar 29, 2015Updated 11 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Aug 2, 2024Updated last year
- Theano☆11Aug 26, 2017Updated 8 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code for the ICCV 2017 paper "Introspective Neural Networks for Generative Modeling"☆11Oct 24, 2017Updated 8 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
- Implementation of DEFT as a fork of RED-diff.☆15Dec 6, 2024Updated last year
- Pitman-Yor processes in python☆26Apr 18, 2014Updated 12 years ago
- A framework for Bayesian optimization of composite functions.☆15Dec 8, 2022Updated 3 years ago
- A probabilistic programming framework based on TensorFlow☆88Apr 29, 2019Updated 7 years ago
- Poisson-Gamma dynamical systems☆18Feb 25, 2026Updated 4 months ago
- Thompson Sampling for Bandits using UCB policy☆10Jul 29, 2017Updated 8 years ago
- An easy way to start a python programming environment using GitHub Codespaces.☆15Sep 9, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Hierarchical Mixture of Experts,Mixture Density Neural Network☆45Mar 31, 2017Updated 9 years ago
- Heuristic Dynamic Programming with Python☆14Jul 28, 2014Updated 11 years ago
- Black Box Variational Inference for Bayesian logistic regression☆18Apr 1, 2017Updated 9 years ago
- ☆11Jun 17, 2016Updated 10 years ago
- We enable LLM with personalization capability☆11Nov 16, 2023Updated 2 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆35May 29, 2015Updated 11 years ago
- Image mapping using the LDDMM algorithm, implemented in tensorflow☆17Aug 18, 2021Updated 4 years ago