code for "Neural Conservation Laws A Divergence-Free Perspective".
☆44Dec 11, 2022Updated 3 years ago
Alternatives and similar repositories for neural-conservation-law
Users that are interested in neural-conservation-law are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code release for "Stochastic Optimal Control Matching"☆40Aug 14, 2024Updated last year
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Dec 10, 2022Updated 3 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Sep 3, 2024Updated last year
- Official PyTorch implementation of NeurIPS 2022 paper "Invertible Monotone Operators for Normalizing Flows"☆15Nov 28, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆44Sep 30, 2022Updated 3 years ago
- Convex potential flows☆86Nov 19, 2021Updated 4 years ago
- NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection" and T-PAMI Extension☆20Feb 21, 2025Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70May 22, 2024Updated last year
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆89Apr 1, 2024Updated 2 years ago
- ☆14Aug 18, 2023Updated 2 years ago
- Implementation of Action Matching☆52Jun 5, 2023Updated 2 years ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Nov 14, 2023Updated 2 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 5 years ago
- 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.
- Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"☆13Oct 25, 2021Updated 4 years ago
- ☆14Jul 17, 2023Updated 2 years ago
- TensorFlow implementation of entropy SGD☆12Aug 9, 2018Updated 7 years ago
- ☆11Feb 25, 2026Updated last month
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Jun 28, 2019Updated 6 years ago
- ☆11May 26, 2023Updated 2 years ago
- Regularized Neural ODEs (RNODE)☆81Jul 16, 2021Updated 4 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Feb 14, 2024Updated 2 years ago
- Testing Difference Target Propagation (DTP) on MNIST.☆13Oct 12, 2020Updated 5 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties☆14Sep 4, 2025Updated 7 months ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Nov 19, 2022Updated 3 years ago
- Lipschitz Recurrent Neural Networks☆30Jun 28, 2021Updated 4 years ago
- ☆11Mar 13, 2023Updated 3 years ago
- PyNucleus is a finite element code that specifically targets nonlocal operators.☆14Feb 11, 2026Updated 2 months ago
- ☆11Apr 14, 2022Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 5 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆58Nov 27, 2022Updated 3 years ago
- [L4DC 2025] Morphological-Symmetry-Equvariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning☆19Dec 6, 2025Updated 4 months ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆195Mar 31, 2026Updated 2 weeks ago
- Multiwavelets-based operator model☆69Feb 16, 2022Updated 4 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Jun 9, 2022Updated 3 years ago
- Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere☆20Nov 18, 2022Updated 3 years ago
- ☆14May 16, 2025Updated 11 months ago
- Gaussian process regression code.☆25Apr 24, 2014Updated 11 years ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆29Jan 30, 2024Updated 2 years ago