k920049 / Deep-Kalman-FilterLinks
☆24Updated 7 years ago
Alternatives and similar repositories for Deep-Kalman-Filter
Users that are interested in Deep-Kalman-Filter are comparing it to the libraries listed below
Sorting:
- ☆46Updated 2 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 7 years ago
- Kalman Variational Auto-Encoder☆137Updated 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
- Mixture Density Networks (MDN) implemented in PyTorch☆65Updated 5 years ago
- ☆14Updated 7 years ago
- Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction☆48Updated 5 years ago
- Python implementation of the PR-SSM.☆56Updated 7 years ago
- Variational Inference in Gaussian Mixture Model☆60Updated 5 years ago
- Particle Filter Recurrent Neural Networks (AAAI 2020)☆78Updated last year
- ☆23Updated 4 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆141Updated 8 years ago
- Clean repo for tensor-train RNN implemented in TensorFlow☆69Updated 6 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 9 years ago
- Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.☆40Updated 7 years ago
- Implementation of Deep Variational Bayes Filter☆12Updated 6 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Updated 4 years ago
- Streaming sparse Gaussian process approximations☆68Updated 3 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆98Updated 3 years ago
- Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone☆54Updated 2 years ago
- Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"☆185Updated 2 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆139Updated 7 years ago
- Heterogeneous Multi-output Gaussian Processes☆53Updated 5 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆60Updated 2 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆29Updated 10 years ago
- Bayesian Neural Network in PyTorch☆91Updated last year
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Updated 5 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago