DiffEqML / torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
☆1,456Updated 10 months ago
Alternatives and similar repositories for torchdyn:
Users that are interested in torchdyn are comparing it to the libraries listed below
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,414Updated 6 months ago
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆736Updated last year
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,620Updated 2 months ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆433Updated last year
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,566Updated this week
- Constrained optimization toolkit for PyTorch☆670Updated 3 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆637Updated 4 years ago
- Normalizing flows in PyTorch☆893Updated 2 months ago
- Pytorch implementation of Augmented Neural ODEs☆537Updated 2 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆278Updated 3 years ago
- A parallel ODE solver for PyTorch☆250Updated 5 months ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆5,833Updated last month
- Awesome resources on normalizing flows.☆1,495Updated last month
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆548Updated 4 years ago
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆645Updated 2 years ago
- Code for our paper "Hamiltonian Neural Networks"☆454Updated 3 years ago
- PyTorch implementation of normalizing flow models☆805Updated 6 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆437Updated 6 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆955Updated last week
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆745Updated last year
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆733Updated 3 weeks ago
- Lagrangian Neural Networks☆483Updated 8 months ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆847Updated last month
- [NeurIPS'19] Deep Equilibrium Models☆741Updated 2 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆858Updated 5 years ago
- ☆428Updated 3 months ago
- Differentiable convex optimization layers☆1,886Updated 3 months ago
- Normalizing flows in PyTorch☆363Updated 2 weeks ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,078Updated this week
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆218Updated 4 years ago