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☆85Nov 6, 2019Updated 6 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆44May 18, 2017Updated 8 years ago
- MATLAB code for Stein Point Markov Chain Monte Carlo.☆13Jul 3, 2019Updated 6 years ago
- ☆11Mar 9, 2018Updated 8 years ago
- Inference for diffusion processes with the use of `Guided Proposals`☆16Oct 20, 2020Updated 5 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.
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 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
- Implementation of Deep Dirichlet Multinomial Regression in python + cython.☆16Mar 7, 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.
- Time-varying Autoregression with Low Rank Tensors☆16Jul 29, 2021Updated 4 years ago
- Papers for Bayesian-NN☆328Jun 25, 2019Updated 6 years ago
- Code used in paper submitted to ICASSP 2019☆14Nov 22, 2018Updated 7 years ago
- ☆10Apr 27, 2025Updated last year
- ☆45Feb 23, 2025Updated last year
- ☆10Jul 9, 2025Updated 10 months ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Jan 11, 2019Updated 7 years ago
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Mar 12, 2021Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Repository for tutorial on Neural ODEs prepared for the UCL AI Society☆13Mar 7, 2021Updated 5 years ago
- evaluation of shot detection results using the RAI dataset☆10Jun 7, 2018Updated 7 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Oct 16, 2024Updated last year
- Gamma Belief Networks☆12Mar 2, 2018Updated 8 years ago
- Python code that demonstrates how data generated from an IBP changes as you vary the process hyperparameters☆12Aug 24, 2016Updated 9 years ago
- [EACL 2023] Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models…☆17May 7, 2024Updated 2 years ago
- SATCN for Kriging☆17Jun 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
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Evaluating Durability: Benchmark Insights into Multimodal Watermarking☆12Jun 7, 2024Updated last year
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆12Aug 1, 2022Updated 3 years ago
- Binaries for mathematicians☆10Mar 19, 2025Updated last year
- ☆10Apr 2, 2018Updated 8 years ago
- BayesianNonparametrics in julia☆32Sep 6, 2018Updated 7 years ago
- ☆14Jun 30, 2017Updated 8 years ago
- Natural Gradient, Variational Inference☆29Jan 13, 2020Updated 6 years ago