Jgmorton / vbfLinks
Implementation of Deep Variational Bayes Filter
☆12Updated 6 years ago
Alternatives and similar repositories for vbf
Users that are interested in vbf are comparing it to the libraries listed below
Sorting:
- Python implementation of the PR-SSM.☆55Updated 7 years ago
- ☆54Updated 7 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64Updated 9 years ago
- Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"☆186Updated 2 years ago
- Predictive State Recurrent Neural Networks☆18Updated 5 years ago
- ☆46Updated 2 years ago
- ☆14Updated 6 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Kalman Variational Auto-Encoder☆136Updated 6 years ago
- ☆21Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf☆19Updated 5 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 10 years ago
- Library for Auto-Encoding Sequential Monte Carlo☆18Updated last year
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- QMDP-Net implementation☆65Updated 5 years ago
- Contains the code for "Generative Modeling of Multimodal Multi-Human Behavior" by Boris Ivanovic, Edward Schmerling, Karen Leung, and Mar…☆16Updated 6 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆97Updated 7 years ago
- Streaming sparse Gaussian process approximations☆68Updated 3 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- PyTorch implementation of AVF☆45Updated 5 years ago
- ☆35Updated 5 years ago
- E2C implementation in PyTorch☆43Updated 8 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- A toolbox for inference of switching systems for control☆12Updated 4 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 8 years ago
- Structured Inference Networks for Nonlinear State Space Models☆273Updated 8 years ago