☆59Feb 7, 2019Updated 7 years ago
Alternatives and similar repositories for sgld
Users that are interested in sgld 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 Langevin Dynamics for Bayesian learning☆36Nov 29, 2021Updated 4 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Sep 16, 2018Updated 7 years ago
- Implementation of Stochastic Gradient Langevin Dynamics☆13Sep 29, 2018Updated 7 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Jun 20, 2017Updated 8 years ago
- Approximate Bayesian Inference Toolkit (Python, C++)☆14Apr 16, 2014Updated 11 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Dec 19, 2018Updated 7 years ago
- Input files for Batzner, S., Musaelian, A., Sun, L., Geiger, M., Mailoa, J. P., Kornbluth, M., ... & Kozinsky, B. (2021). E(3)-equivarian…☆16Jul 3, 2025Updated 8 months ago
- INTRODUCTION TO MACHINE LEARNING: An introductory practical course by Florent Krzakala and Antoine Baker☆14May 26, 2019Updated 6 years ago
- Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)☆16Aug 19, 2021Updated 4 years ago
- ☆41May 14, 2019Updated 6 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Oct 28, 2020Updated 5 years ago
- Papers for Bayesian-NN☆328Jun 25, 2019Updated 6 years ago
- Blog for the Open Institute for Advanced Study☆10Oct 30, 2020Updated 5 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Apr 30, 2017Updated 8 years ago
- Dropout as Regularization and Bayesian Approximation☆56Nov 17, 2018Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- Tensorflow implementation of Stein Variational Gradient Descent (SVGD)☆26Jan 13, 2018Updated 8 years ago
- Probability models with `y ~ Normal(mu, sigma)` style syntax and reverse mode AD for gradients; WIP. Prioritizes runtime performance.☆20Dec 12, 2020Updated 5 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆45Jun 6, 2025Updated 9 months ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Sep 15, 2025Updated 6 months ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Dec 17, 2019Updated 6 years ago
- Riemannian Convex Potential Maps☆67Mar 31, 2023Updated 2 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 7 years ago
- ☆20Oct 5, 2018Updated 7 years ago
- Code for the paper☆11May 24, 2024Updated last year
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆31Mar 3, 2021Updated 5 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Jul 25, 2021Updated 4 years ago
- A framework for steering MoE models by detecting and controlling behavior-linked experts.☆31Sep 12, 2025Updated 6 months ago
- Learning to Skip the Middle Layers of Transformers☆17Aug 7, 2025Updated 7 months ago
- How certain is your transformer?☆25Apr 25, 2021Updated 4 years ago
- codes and plots for "Active-Dormant Attention Heads: Mechanistically Demystifying Extreme-Token Phenomena in LLMs"☆10Dec 30, 2024Updated last year
- Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.☆40Mar 30, 2018Updated 7 years ago
- ☆10Aug 26, 2022Updated 3 years ago
- Code for the paper "Stochastic Variational Inference for Dynamic Correlated Topic Models"☆19Jul 30, 2020Updated 5 years ago
- Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.☆11Aug 31, 2020Updated 5 years ago
- Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"☆16Jan 12, 2021Updated 5 years ago
- TensorFlow Probability Tutorial☆38Oct 17, 2019Updated 6 years ago
- Normal Mode Analysis for Macromolecules☆18Apr 1, 2017Updated 8 years ago
- Implementation of the Tower Method, a novel approach to handling missing values.☆12Mar 12, 2024Updated 2 years ago