OlegArenz / VIPSLinks
Variational Inference by Policy Search
☆13Updated 6 years ago
Alternatives and similar repositories for VIPS
Users that are interested in VIPS are comparing it to the libraries listed below
Sorting:
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64Updated 9 years ago
- ☆69Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Python implementation of the PR-SSM.☆55Updated 7 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- ☆66Updated last year
- Python library for Recurrent Gaussian Processes☆20Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- E2C implementation in PyTorch☆43Updated 8 years ago
- Code release for the ICLR paper☆21Updated 7 years ago
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆30Updated 8 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 4 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
- Reference implementation of Optimistic Expected Improvement.☆50Updated 5 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆45Updated 7 years ago
- Implementation of the POIS algorithm☆15Updated 6 years ago
- The Differentiable Cross-Entropy Method☆123Updated 5 years ago
- ☆170Updated last year
- ☆40Updated 6 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆106Updated 7 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago