IraKorshunova / brunoView external linksLinks
a deep recurrent model for exchangeable data
☆34Jul 1, 2020Updated 5 years ago
Alternatives and similar repositories for bruno
Users that are interested in bruno are comparing it to the libraries listed below
Sorting:
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39May 30, 2019Updated 6 years ago
- Variational Reinforcement Learning☆17Jul 25, 2024Updated last year
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- End-to-End Probabilistic Inference for Nonstationary Audio Analysis☆12Aug 7, 2019Updated 6 years ago
- Sequential Monte Carlo sampler for PyMC2 models.☆13Apr 4, 2018Updated 7 years ago
- Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"☆10Feb 16, 2023Updated 3 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Jul 13, 2023Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Nov 30, 2018Updated 7 years ago
- Applications of Gaussian Process Latent Variable Models in Finance☆11Aug 23, 2022Updated 3 years ago
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Aug 27, 2020Updated 5 years ago
- Hierarchical Change-Point Detection☆14Oct 25, 2018Updated 7 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Nov 15, 2018Updated 7 years ago
- Simple and light framework for building neural nets with different architectures 2.0 (Python)☆13Mar 23, 2016Updated 9 years ago
- Predictive State Recurrent Neural Networks☆18May 18, 2020Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 7 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Feb 19, 2021Updated 4 years ago
- Robust bayesian online changepoint detection with model selection☆24Dec 1, 2018Updated 7 years ago
- Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19☆20Nov 21, 2018Updated 7 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆39Dec 8, 2022Updated 3 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
- NeurIPS 2018. Linear-time model comparison tests.☆18Feb 15, 2020Updated 6 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39May 6, 2020Updated 5 years ago
- ☆50Jul 25, 2024Updated last year
- Clockwork VAEs in JAX/Flax☆32Jul 16, 2021Updated 4 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Feb 24, 2023Updated 2 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆81Jul 23, 2019Updated 6 years ago
- Autoregressive Energy Machines☆78Nov 22, 2022Updated 3 years ago
- Code for AutoGP☆27Jul 19, 2019Updated 6 years ago
- ☆22May 30, 2021Updated 4 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Jul 27, 2020Updated 5 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Oct 30, 2019Updated 6 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf☆22Aug 6, 2019Updated 6 years ago
- Implementation of Riemannian optimization for skip-gram negative sampling (ACL 2017)☆19Apr 26, 2018Updated 7 years ago
- rich posterior approximations and anomaly detection☆20Mar 15, 2019Updated 6 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Oct 29, 2022Updated 3 years ago
- A short course on temporal point process and modeling irregular time series☆21Nov 20, 2020Updated 5 years ago
- Training (hopefully) safe agents in gridworlds☆25May 12, 2019Updated 6 years ago