cambridge-mlg / neural_diffusion_processesLinks
☆13Updated 2 years ago
Alternatives and similar repositories for neural_diffusion_processes
Users that are interested in neural_diffusion_processes are comparing it to the libraries listed below
Sorting:
- Neural Diffusion Processes☆81Updated last year
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆49Updated 2 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆53Updated 5 years ago
- [ICLR 2022] Path integral sampler☆50Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 10 months ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆34Updated 3 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆56Updated last year
- Code release for "Stochastic Optimal Control Matching"☆36Updated 11 months ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 6 months ago
- Official implementation of Transformer Neural Processes☆78Updated 2 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆23Updated 2 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆80Updated 3 months ago
- ☆20Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆73Updated 3 years ago
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆15Updated 4 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆129Updated 11 months ago