☆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☆37Nov 29, 2021Updated 4 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆36Sep 16, 2018Updated 8 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- Codebase for our paper "URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks"☆19Aug 27, 2022Updated 4 years ago
- Implementation of Stochastic Gradient Langevin Dynamics☆13Sep 29, 2018Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Jun 20, 2017Updated 9 years ago
- Implementation of various generative models☆14Oct 1, 2018Updated 8 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,979Oct 20, 2023Updated 3 years ago
- Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)☆16Aug 19, 2021Updated 5 years ago
- PhysicsML Blog☆28Jun 2, 2021Updated 5 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆95Oct 28, 2020Updated 6 years ago
- ☆41May 14, 2019Updated 7 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Dec 7, 2016Updated 9 years ago
- ☆12Jun 2, 2018Updated 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.
- " Weight Uncertainty in Neural Networks"☆49Jan 31, 2018Updated 8 years ago
- Dropout as Regularization and Bayesian Approximation☆57Nov 17, 2018Updated 7 years ago
- Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent☆14Feb 6, 2020Updated 6 years ago
- ☆10Dec 8, 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
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆111Apr 19, 2024Updated 2 years ago
- Qwen3 MoE Router Statistics | 큐웬3 MoE☆11May 16, 2025Updated last year
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Sep 15, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Laplace Redux -- Effortless Bayesian Deep Learning☆47Jun 6, 2025Updated last year
- Dataset for stock prediction from tweets and historical stock prices.☆10May 16, 2024Updated 2 years ago
- A Playground for Variational Autoencoders☆12Feb 11, 2018Updated 8 years ago
- Papers for Bayesian-NN☆327Jun 25, 2019Updated 7 years ago
- Bayesian Methods for Machine Learning☆65Jun 27, 2019Updated 7 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 years ago
- Riemannian Convex Potential Maps☆68Mar 31, 2023Updated 3 years ago
- How certain is your transformer?☆25Apr 25, 2021Updated 5 years ago
- Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models☆23Mar 5, 2026Updated 7 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for Generalization Guarantees for (Multi-Modal) Imitation Learning☆11Jul 14, 2022Updated 4 years ago
- Black Box Variational Inference☆14May 22, 2015Updated 11 years ago
- A julia package for bayesian optimization of black box functions.☆23Dec 4, 2020Updated 5 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆55Aug 9, 2025Updated last year
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆42May 20, 2022Updated 4 years ago
- Compute free-support Wasserstein barycenters exactly☆10Aug 22, 2024Updated 2 years ago
- TensorFlow Probability Tutorial☆38Oct 17, 2019Updated 7 years ago