xwinxu / bayeSDELinks
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
☆170Updated 3 years ago
Alternatives and similar repositories for bayeSDE
Users that are interested in bayeSDE are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 8 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆103Updated last year
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆111Updated 3 months ago
- Normalizing Flows using JAX☆83Updated last year
- Manifold-learning flows (ℳ-flows)☆229Updated 4 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆281Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- Algorithms for computations on random manifolds made easier☆90Updated last year
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆128Updated 9 months ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆55Updated last year
- Experiments for Neural Flows paper☆97Updated 3 years ago
- Simulation-based inference benchmark☆97Updated 5 months ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- ☆47Updated last year
- ☆152Updated 2 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆48Updated last week
- Riemannian Optimization Using JAX☆49Updated last year
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆60Updated 4 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆438Updated last year
- Refining continuous-in-depth neural networks☆40Updated 3 years ago