cagatayyildiz / ODE2VAELinks
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks
☆129Updated last year
Alternatives and similar repositories for ODE2VAE
Users that are interested in ODE2VAE are comparing it to the libraries listed below
Sorting:
- Official code for the ICLR 2021 paper Neural ODE Processes☆74Updated 3 years ago
- Experiments for Neural Flows paper☆97Updated 3 years ago
- Regularized Neural ODEs (RNODE)☆85Updated 4 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated 11 months ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆118Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆120Updated 2 years ago
- Implementation of the Convolutional Conditional Neural Process☆125Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆107Updated 4 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆62Updated 4 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- Pytorch implementation of Neural Processes for functions and images☆233Updated 3 years ago
- ☆48Updated last year
- Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…☆104Updated 3 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆54Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆55Updated last year
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- ☆46Updated 2 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆235Updated 7 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆123Updated 8 months ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- ☆103Updated 4 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆282Updated 3 years ago
- Gaussian Process Prior Variational Autoencoder☆85Updated 6 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 3 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 5 years ago
- Convex potential flows☆84Updated 3 years ago