UCLAIS / neural-ode-tutorial
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
- ☆30Updated 2 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 6 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- [ICLR 2022] Path integral sampler☆45Updated last year
- ☆15Updated 3 years ago
- ☆13Updated last year
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆24Updated 3 months ago
- Library for Bayesian Quadrature☆31Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- Benchmark functions for Bayesian optimization☆33Updated last year
- Modern Gaussian Processes: Scalable Inference and Novel Applications☆20Updated 5 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆28Updated last month
- Methods and experiments for assumed density SDE approximations☆11Updated 3 years ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 4 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆19Updated 3 weeks ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆40Updated 2 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Updated 3 years ago
- Python and MATLAB code for Stein Variational sampling methods☆24Updated 5 years ago
- Neat Bayesian machine learning examples☆55Updated 2 months ago
- code for "Neural Jump Ordinary Differential Equations"☆29Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆57Updated 5 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- ☆15Updated 2 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆25Updated last year
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago