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:
- ☆47Updated 3 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
- This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf☆19Updated 6 years ago
- ☆14Updated 7 years ago
- Kalman Variational Auto-Encoder☆138Updated 6 years ago
- Mixture Density Networks (MDN) implemented in PyTorch☆65Updated 5 years ago
- Python implementation of the PR-SSM.☆56Updated 7 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Updated 4 years ago
- Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction☆48Updated 5 years ago
- Implementation of Deep Variational Bayes Filter☆13Updated 6 years ago
- Streaming sparse Gaussian process approximations☆69Updated 3 years ago
- Particle Filter Recurrent Neural Networks (AAAI 2020)☆78Updated last year
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆43Updated 6 years ago
- Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone☆54Updated 2 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 3 years ago
- ☆23Updated 4 years ago
- Continual Gaussian Processes☆31Updated 2 years ago
- Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization☆111Updated 8 years ago
- Heterogeneous Multi-output Gaussian Processes☆54Updated 5 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆99Updated 3 years ago
- Bayesian Neural Network in PyTorch☆92Updated last year
- ☆54Updated 7 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆99Updated 8 months ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆59Updated last year
- Particle filtering and sequential parameter inference in Python☆83Updated 2 years ago
- Recurrent Neural Filters for Time Series Prediction☆23Updated 5 years ago
- Clean repo for tensor-train RNN implemented in TensorFlow☆69Updated 6 years ago
- Variational Inference in Gaussian Mixture Model☆61Updated 5 years ago