xwinxu / bayeSDE
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
☆169Updated 3 years ago
Alternatives and similar repositories for bayeSDE:
Users that are interested in bayeSDE are comparing it to the libraries listed below
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆278Updated 3 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆97Updated 11 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆102Updated last year
- This repository contains code released by DiffEqML Research☆89Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆117Updated last year
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆41Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Experiments for Neural Flows paper☆94Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 6 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆71Updated 4 years ago
- Normalizing Flows using JAX☆83Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- Manifold-learning flows (ℳ-flows)☆229Updated 4 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆107Updated 2 weeks ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆434Updated last year
- Algorithms for computations on random manifolds made easier☆89Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆124Updated 5 months ago
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆53Updated 10 months ago
- Normalizing Flows with a resampled base distribution☆46Updated 2 years ago
- Convex potential flows☆83Updated 3 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆37Updated 2 years ago
- ☆49Updated 2 years ago
- Large-scale, multi-GPU capable, kernel solver☆186Updated 8 months ago
- Riemannian Optimization Using JAX☆48Updated last year
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆112Updated this week
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆127Updated 7 months ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- A generic interface for linear algebra backends☆73Updated last month