a deep recurrent model for exchangeable data
☆34Jul 1, 2020Updated 6 years ago
Alternatives and similar repositories for bruno
Users that are interested in bruno are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆37May 30, 2019Updated 7 years ago
- End-to-End Probabilistic Inference for Nonstationary Audio Analysis☆12Aug 7, 2019Updated 6 years ago
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- ☆10Mar 4, 2016Updated 10 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39May 6, 2020Updated 6 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 Disentangle Align and Fuse for Multimodal and Zero-shot Image Segmentation☆15Dec 8, 2022Updated 3 years ago
- PyTorch implementation of AVF☆45Sep 2, 2020Updated 5 years ago
- Simple and light framework for building neural nets with different architectures 2.0 (Python)☆12Mar 23, 2016Updated 10 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆68Feb 19, 2021Updated 5 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Jul 7, 2020Updated 6 years ago
- Predictive State Recurrent Neural Networks☆18May 18, 2020Updated 6 years ago
- Applications of Gaussian Process Latent Variable Models in Finance☆11Aug 23, 2022Updated 3 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Jan 25, 2024Updated 2 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Jul 13, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code for FPI submission to MOOD 2020☆16Aug 9, 2021Updated 4 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Jul 27, 2020Updated 5 years ago
- Autoregressive Energy Machines☆78Nov 22, 2022Updated 3 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- Variational autoencoder implementation using Tensorflow and Python☆10Dec 6, 2016Updated 9 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
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Nov 15, 2018Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 7 years ago
- Convolutional REpresenations for Music Analysis☆12Jul 5, 2016Updated 10 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.
- Some examples on computing MLEs using TensorFlow☆15Sep 8, 2017Updated 8 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Aug 23, 2018Updated 7 years ago
- ☆11May 26, 2023Updated 3 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Feb 15, 2020Updated 6 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Dec 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
- Robust bayesian online changepoint detection with model selection☆24Dec 1, 2018Updated 7 years ago
- Gradient Estimation in Stochastic Computation Graphs using TensorFlow.☆17Dec 20, 2017Updated 8 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Pytorch implementation of Neural Processes for functions and images☆238Feb 8, 2022Updated 4 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆81Jul 23, 2019Updated 6 years ago
- An Emas Major Mode for editing Answer Set Programs☆13Apr 4, 2018Updated 8 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆248Sep 30, 2022Updated 3 years ago
- Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19☆20Nov 21, 2018Updated 7 years ago
- Reweighted Expectation Maximization☆29Jun 14, 2019Updated 7 years ago
- ☆22May 30, 2021Updated 5 years ago