The code in this repository follows the paper "Stochastic gradient MCMC"
☆27Jul 16, 2019Updated 6 years ago
Alternatives and similar repositories for sgmcmc-review-paper
Users that are interested in sgmcmc-review-paper are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing☆10Jun 1, 2022Updated 3 years ago
- Simple processor in Haskell☆11Jul 3, 2015Updated 10 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Dec 7, 2016Updated 9 years ago
- pcells for various magnetic passive devices (GPL v3)☆12Sep 21, 2013Updated 12 years ago
- Code for Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles [AISTATS'23]☆13Jul 28, 2023Updated 2 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.
- ☆14Aug 20, 2019Updated 6 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆30Nov 5, 2020Updated 5 years ago
- An R package for simulating line lists☆10Updated this week
- ☆10Feb 9, 2026Updated 2 months ago
- ☆11Dec 9, 2017Updated 8 years ago
- implementations sde-net☆14Dec 8, 2020Updated 5 years ago
- A manuscript exploring the effects of taxonomic bias on microbiome differential-abundance analysis.☆12Oct 30, 2023Updated 2 years ago
- An R package to help assess the sensitivity of a Bayesian model (fitted with Stan) to the specification of its likelihood and priors☆11Apr 8, 2025Updated last year
- R-package for building and fitting Bayesian ODE models in Stan☆30Sep 13, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆12Feb 15, 2024Updated 2 years ago
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Jun 20, 2023Updated 2 years ago
- ☆13Updated this week
- Course material for the PhD course in Advanced Bayesian Learning☆63Apr 8, 2026Updated last week
- ☆10Sep 30, 2025Updated 6 months ago
- Utility provides a more meaningful measure of forecast skill than goodness-of-fit☆18Apr 26, 2022Updated 3 years ago
- Python Model Builder - fit statistical models using algorithmic differentiation☆13Mar 7, 2019Updated 7 years ago
- Normalized Wasserstein for Mixture Distributions☆11Mar 24, 2023Updated 3 years ago
- Examples on INLA within MCMC☆12May 15, 2017Updated 8 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆25Jun 17, 2024Updated last year
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Oct 12, 2024Updated last year
- IDE backend for Julia☆27Dec 8, 2015Updated 10 years ago
- Open Source Mycetoma's First Series of Molecules☆10Sep 22, 2025Updated 6 months ago
- Martingale Posteriors with Copulas☆24Mar 19, 2024Updated 2 years ago
- Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.☆33Nov 7, 2024Updated last year
- In which I learn about score functions and how they can be used to generate data.☆16Apr 5, 2024Updated 2 years ago
- Code companion of Multi-task Learning for Aggregated Data using Gaussian Processes paper☆11Apr 6, 2020Updated 6 years ago
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)☆12Jul 22, 2024Updated last year
- 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.
- Kernel density estimation based on vine copulas☆16Sep 4, 2025Updated 7 months ago
- A framework for implementing genetic algorithms in Clojure.☆63Dec 13, 2013Updated 12 years ago
- Train deepGLM with Matlab, R and Python☆26Dec 22, 2022Updated 3 years ago
- ☆15Dec 7, 2021Updated 4 years ago
- ☆13Dec 2, 2024Updated last year
- Support for the DIDE cluster☆10Nov 22, 2024Updated last year
- Survival Extrapolation With a Flexible Parametric Model and External Data☆12Mar 10, 2026Updated last month