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☆72Updated 3 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆60Updated 4 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆129Updated 10 months ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆48Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆114Updated 2 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 9 months ago
- ☆31Updated last year
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆50Updated last year
- VAEs and nonlinear ICA: a unifying framework☆36Updated 5 years ago
- ☆47Updated last year
- Deep universal probabilistic programming with Python and PyTorch☆12Updated 5 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 4 years ago
- Algorithms for computations on random manifolds made easier☆91Updated last year
- ☆17Updated last year
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- ☆14Updated 2 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆38Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated last year
- Tree-structured recurrent switching linear dynamical systems☆36Updated 5 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago