This repository contains code released by DiffEqML Research
☆94Mar 9, 2022Updated 4 years ago
Alternatives and similar repositories for diffeqml-research
Users that are interested in diffeqml-research are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A PyTorch library for all things nonlinear control and reinforcement learning.☆48Oct 22, 2021Updated 4 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,578May 2, 2024Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆76May 1, 2022Updated 4 years ago
- Refining continuous-in-depth neural networks☆41Nov 14, 2021Updated 4 years ago
- Methods and experiments for assumed density SDE approximations☆12Jan 26, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Regularized Neural ODEs (RNODE)☆80Jul 16, 2021Updated 5 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Sep 30, 2024Updated last year
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆42Oct 19, 2022Updated 3 years ago
- PyTorch block-diagonal ODE CUDA solver, designed for gradient-based optimization☆16Apr 27, 2020Updated 6 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆57Mar 13, 2021Updated 5 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆92Oct 19, 2022Updated 3 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆85Apr 19, 2025Updated last year
- Official repository for Fourier model that can generate periodic signals☆10Mar 10, 2022Updated 4 years ago
- Pytorch code to train image classifiers based on ODE Nets on MNIST and CIFAR-10, extract features and test robustness to adversarial exam…☆14Oct 8, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Learning Dynamical Systems that Generalize Across Environments☆20Feb 10, 2022Updated 4 years ago
- Experiment with Neural ODE on Pytorch☆14Aug 9, 2019Updated 7 years ago
- Pytorch implementation of Augmented Neural ODEs☆560Feb 9, 2023Updated 3 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆30Sep 25, 2021Updated 4 years ago
- Port-Hamiltonian Approach to Neural Network Training☆27Dec 11, 2019Updated 6 years ago
- Lipschitz Recurrent Neural Networks☆29Jun 28, 2021Updated 5 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Jan 19, 2022Updated 4 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆125May 11, 2021Updated 5 years ago
- Performant, differentiable reinforcement learning☆126Aug 2, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Official code for Long Expressive Memory (ICLR 2022, Spotlight)☆70Mar 11, 2022Updated 4 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆46Sep 30, 2022Updated 3 years ago
- ☆30Jan 3, 2023Updated 3 years ago
- The implementation of the paper: Clifford Group Equivariant Simplicial Message Passing Networks @ ICLR2024☆17May 29, 2024Updated 2 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,477Apr 4, 2025Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Feb 11, 2022Updated 4 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Nov 5, 2018Updated 7 years ago
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆598Dec 3, 2020Updated 5 years ago
- Test pytorch code with minimal computational overhead☆26Jun 8, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆58May 23, 2023Updated 3 years ago
- ☆31Aug 16, 2021Updated 5 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Aug 20, 2024Updated 2 years ago
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 4 years ago
- On Robustness of Neural Ordinary Differential Equations☆11Oct 12, 2021Updated 4 years ago
- Pytorch implementation of RED-SDS (NeurIPS 2021).☆20Oct 27, 2021Updated 4 years ago