EmilienDupont / augmented-neural-odesLinks
Pytorch implementation of Augmented Neural ODEs
☆549Updated 2 years ago
Alternatives and similar repositories for augmented-neural-odes
Users that are interested in augmented-neural-odes are comparing it to the libraries listed below
Sorting:
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆784Updated last year
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆657Updated 5 years ago
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆566Updated 4 years ago
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆223Updated 5 years ago
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆672Updated 3 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆454Updated last month
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆284Updated 3 years ago
- Pytorch implementation of Neural Processes for functions and images☆233Updated 3 years ago
- This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data☆199Updated 6 years ago
- Code for our paper "Hamiltonian Neural Networks"☆486Updated 4 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆106Updated 4 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆130Updated last year
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆236Updated 7 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆882Updated 5 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,004Updated 4 years ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆280Updated last year
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆288Updated 4 years ago
- Code for Neural Spline Flows paper☆280Updated last week
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆634Updated 4 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆458Updated last year
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,531Updated last year
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,486Updated last year
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆226Updated last year
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models☆775Updated 3 years ago
- ☆249Updated 2 years ago
- Tutorial on normalizing flows.☆299Updated 7 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated last month
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago