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:
- Heterogeneous Multi-output Gaussian Processes☆53Updated 5 years ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆74Updated 3 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- ☆15Updated 2 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆77Updated 3 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆55Updated last year
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Updated 2 years ago
- ☆13Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆57Updated 4 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Learning unknown ODE models with Gaussian processes☆26Updated 7 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆123Updated 8 months ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆53Updated 5 years ago
- Deep Generative ODE Modelling with Known Unknowns☆18Updated 4 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆129Updated last year
- Continual Gaussian Processes☆32Updated 2 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆61Updated 4 years ago
- Bayesian active learning with EPIG data acquisition☆34Updated 4 months ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆100Updated 6 years ago