titu1994 / tfdiffeqLinks
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
☆221Updated 4 years ago
Alternatives and similar repositories for tfdiffeq
Users that are interested in tfdiffeq are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Augmented Neural ODEs☆543Updated 2 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆281Updated 3 years ago
- Neural Ordinary Differential Equation☆102Updated 6 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆107Updated 4 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- Code for our paper "Hamiltonian Neural Networks"☆479Updated 4 years ago
- This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube☆247Updated 6 years ago
- This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data☆200Updated 6 years ago
- Lagrangian Neural Networks☆504Updated last year
- ☆110Updated 4 years ago
- Sample implementation of Neural Ordinary Differential Equations☆264Updated 6 years ago
- Neural reparameterization improves structural optimization☆123Updated 3 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆129Updated 11 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Implementation of (2018) Neural Ordinary Differential Equations on Keras☆66Updated 6 years ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- Differentiable Optimization-Based Modeling for Machine Learning☆338Updated 5 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 9 months ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆442Updated 2 years ago
- ☆103Updated 4 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆649Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆772Updated last year
- ☆72Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- neural networks to learn Koopman eigenfunctions☆421Updated last year
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Example codes for the book Applied Stochastic Differential Equations☆195Updated 4 years ago
- ☆363Updated 3 years ago
- Understanding normalizing flows☆132Updated 5 years ago