LCAS / RKN
☆47Updated 2 years ago
Alternatives and similar repositories for RKN:
Users that are interested in RKN are comparing it to the libraries listed below
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆70Updated 2 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆37Updated 2 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆89Updated 3 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- Recyclable Gaussian Processes☆11Updated 2 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆112Updated last year
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 5 years ago
- Kalman Variational Auto-Encoder☆135Updated 5 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆126Updated 5 months ago
- Nonparametric Differential Equation Modeling☆53Updated 10 months ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆37Updated 5 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆58Updated 3 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆32Updated 5 years ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆56Updated 6 months ago
- Particle Filter Recurrent Neural Networks (AAAI 2020)☆75Updated 6 months ago
- This repository contains code released by DiffEqML Research☆85Updated 2 years ago
- Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction☆43Updated 5 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆117Updated last month
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Infinite-horizon Gaussian processes☆31Updated 4 years ago
- Implementation of the Gaussian Process Latent Variable Model.☆14Updated 2 years ago
- This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf☆17Updated 5 years ago