UCLAIS / neural-ode-tutorialLinks
Repository for tutorial on Neural ODEs prepared for the UCL AI Society
☆12Updated 4 years ago
Alternatives and similar repositories for neural-ode-tutorial
Users that are interested in neural-ode-tutorial are comparing it to the libraries listed below
Sorting:
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆42Updated 3 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- Neat Bayesian machine learning examples☆58Updated 2 months ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆34Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated 11 months ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Implementation of deep kernels in GPyTorch and Pyro☆10Updated 4 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- code for "Neural Jump Ordinary Differential Equations"☆30Updated 2 years ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 3 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- [ICLR 2022] Path integral sampler☆50Updated 2 years ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- Library for Bayesian Quadrature☆32Updated 6 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆53Updated 3 years ago
- ☆110Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆74Updated 3 years ago
- ☆15Updated 6 months ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆243Updated 6 months ago
- ☆15Updated 2 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- ☆30Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 7 months ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆25Updated 2 years ago
- ☆38Updated 5 years ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆43Updated 2 years ago