ae-foster / pyroLinks
Deep universal probabilistic programming with Python and PyTorch
☆12Updated 5 years ago
Alternatives and similar repositories for pyro
Users that are interested in pyro are comparing it to the libraries listed below
Sorting:
- ☆15Updated 2 years ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆76Updated 3 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆123Updated 7 months ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆20Updated 3 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆35Updated 4 years ago
- ☆20Updated 10 months ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆25Updated 2 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆53Updated last year
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆129Updated 11 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆73Updated 3 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 7 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆43Updated 8 months ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- code for BINOCULARS and Multi-Step BO☆12Updated 4 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago