orilinial / GOKULinks
Deep Generative ODE Modelling with Known Unknowns
☆18Updated 4 years ago
Alternatives and similar repositories for GOKU
Users that are interested in GOKU are comparing it to the libraries listed below
Sorting:
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆63Updated 4 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆49Updated 2 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆130Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- ☆15Updated 2 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆39Updated 3 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 5 years ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆119Updated 2 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- ☆32Updated 2 years ago
- ☆48Updated 2 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆90Updated 5 years ago
- Learning unknown ODE models with Gaussian processes☆27Updated 7 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆49Updated 5 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆15Updated 6 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆19Updated 3 years ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆59Updated last year
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- ☆18Updated last year
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆78Updated 2 years ago
- ☆25Updated last year
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago