EmilienDupont / augmented-neural-odesLinks
Pytorch implementation of Augmented Neural ODEs
☆552Updated 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☆789Updated last year
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆663Updated 5 years ago
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆577Updated 5 years ago
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆691Updated 3 years ago
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆223Updated 5 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆463Updated 4 months ago
- Code for our paper "Hamiltonian Neural Networks"☆499Updated 4 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆287Updated 4 years ago
- This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data☆199Updated 6 years ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,505Updated last year
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆109Updated 5 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,548Updated last year
- Pytorch implementation of Neural Processes for functions and images☆234Updated 3 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆131Updated last year
- Manifold-learning flows (ℳ-flows)☆231Updated 5 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆241Updated 7 years ago
- Code for Neural Spline Flows paper☆283Updated 2 months ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Updated 4 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,010Updated 4 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated 2 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 3 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆462Updated last year
- [NeurIPS'19] Deep Equilibrium Models☆785Updated 3 years ago
- ☆251Updated 3 years ago
- This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube☆248Updated 6 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆227Updated last year
- Sample implementation of Neural Ordinary Differential Equations☆264Updated 7 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- This repository contains code released by DiffEqML Research☆92Updated 3 years ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,692Updated last year