The collection of papers about combining deep learning and Bayesian nonparametrics
☆122Nov 6, 2019Updated 6 years ago
Alternatives and similar repositories for deep-Bayesian-nonparametrics-papers
Users that are interested in deep-Bayesian-nonparametrics-papers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The collection of recent papers about variational inference☆84Nov 6, 2019Updated 6 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43May 18, 2017Updated 8 years ago
- MATLAB code for Stein Point Markov Chain Monte Carlo.☆13Jul 3, 2019Updated 6 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 2 years ago
- Inference for diffusion processes with the use of `Guided Proposals`☆16Oct 20, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38May 30, 2019Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Dec 17, 2019Updated 6 years ago
- Probabilistic Tucker decomposition for high dimensional transport data☆12Jul 17, 2017Updated 8 years ago
- A Julia package that provides (feedback) particle filters for nonlinear stochastic filtering and data assimilation problems☆12Mar 17, 2023Updated 3 years ago
- [CHIL 2024] Interpretation of Intracardiac Electrograms Through Textual Representations☆12Sep 4, 2024Updated last year
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Jul 19, 2020Updated 5 years ago
- ☆13Oct 14, 2021Updated 4 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.
- Time-varying Autoregression with Low Rank Tensors☆16Jul 29, 2021Updated 4 years ago
- Bayesian nonparametric models for python☆18Sep 11, 2018Updated 7 years ago
- Papers for Bayesian-NN☆328Jun 25, 2019Updated 6 years ago
- ☆10Apr 27, 2025Updated 11 months ago
- ☆10Jul 9, 2025Updated 8 months ago
- implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow☆49Feb 20, 2023Updated 3 years ago
- Bayesian nonparametric machine learning for Python☆233Jul 24, 2023Updated 2 years ago
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- Repository for tutorial on Neural ODEs prepared for the UCL AI Society☆13Mar 7, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- evaluation of shot detection results using the RAI dataset☆10Jun 7, 2018Updated 7 years ago
- Bayesian nonparametric clustering in R using DP-means☆12Mar 6, 2020Updated 6 years ago
- Gamma Belief Networks☆12Mar 2, 2018Updated 8 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆66Apr 29, 2019Updated 6 years ago
- Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data☆27Jun 7, 2021Updated 4 years ago
- SATCN for Kriging☆16Jun 8, 2022Updated 3 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Jul 1, 2020Updated 5 years ago
- Direct Gibbs sampling for DPMM using python.☆17Jun 2, 2017Updated 8 years ago
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆12Aug 1, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆18Oct 26, 2022Updated 3 years ago
- a deep recurrent model for exchangeable data☆34Jul 1, 2020Updated 5 years ago
- ☆10Apr 2, 2018Updated 7 years ago
- ☆14Jun 30, 2017Updated 8 years ago
- Natural Gradient, Variational Inference☆29Jan 13, 2020Updated 6 years ago
- Nonlinear SVGD for Learning Diversified Mixture Models☆13Jan 23, 2019Updated 7 years ago
- ☆13Jun 13, 2023Updated 2 years ago