Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)
☆15Aug 1, 2021Updated 4 years ago
Alternatives and similar repositories for NNPhD-github
Users that are interested in NNPhD-github are comparing it to the libraries listed below
Sorting:
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated last year
- ☆15Mar 3, 2023Updated 3 years ago
- ☆21Aug 16, 2019Updated 6 years ago
- ☆19Oct 3, 2021Updated 4 years ago
- finite difference based eigensolving for Maxwell's equations and photonic structures☆14Oct 28, 2021Updated 4 years ago
- Gradients for dynamic programming☆17Nov 10, 2023Updated 2 years ago
- Code to go along the lecture course "Advanced Machine Learning for Physics, Science, and Artificial Scientific Discovery"☆61Aug 30, 2024Updated last year
- A repository for the discussion of PDE tooling for scientific machine learning (SciML) and physics-informed machine learning☆18Jan 8, 2026Updated 2 months ago
- Schrodinger Principal Component Analysis☆23Jun 5, 2020Updated 5 years ago
- Symmetric matrix as a list of the values in its upper or lower triangular part. Useful for representing pairwise measures or comparisons …☆20Sep 14, 2023Updated 2 years ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Sep 26, 2022Updated 3 years ago
- SiML - a Simulation ML library☆28Jan 24, 2025Updated last year
- 🍔 Chen’s Private Cuisine Menu☆10Jan 4, 2026Updated 2 months ago
- docker:dind with NVIDIA GPU support via NVIDIA container toolkit☆13Mar 4, 2026Updated 2 weeks ago
- ☆24Mar 3, 2023Updated 3 years ago
- Graph Inference on MoLEcular Topology☆26Mar 25, 2023Updated 2 years ago
- PotentialLearning.jl: Optimize your atomistic data and interatomic potential models in your molecular dynamics workflows.☆23Nov 21, 2024Updated last year
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Oct 30, 2023Updated 2 years ago
- ☆67Jan 7, 2023Updated 3 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Jan 27, 2022Updated 4 years ago
- Physics-informed neural networks☆16Nov 26, 2020Updated 5 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆34Dec 4, 2023Updated 2 years ago
- ☆12May 23, 2018Updated 7 years ago
- SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization☆11Aug 12, 2020Updated 5 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆39Jun 21, 2024Updated last year
- ☆27Oct 31, 2023Updated 2 years ago
- [GSI 2023] Learning Lagrangian Fluid Mechanics with E(3)-Equivariant GNNs☆15Jun 3, 2024Updated last year
- ☆12Aug 22, 2025Updated 7 months ago
- ☆18Sep 19, 2023Updated 2 years ago
- Wolfram学生大使演讲PPT☆14Aug 26, 2020Updated 5 years ago
- The latest stable release for the crystal structure prediction code FUSE☆13Oct 28, 2025Updated 4 months ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆11Oct 6, 2020Updated 5 years ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆81Apr 10, 2025Updated 11 months ago
- A functional and efficient python implementation of the 3D version of Maxwell's equations☆30Feb 3, 2022Updated 4 years ago
- ☆30Feb 17, 2024Updated 2 years ago
- Finite time Lyapunov exponent (FTLE) from analytical velocity field☆11Jun 29, 2020Updated 5 years ago
- [ICML'25] The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products☆18Jul 16, 2025Updated 8 months ago
- Julia Bindings for Atomic Simulation Environment☆38Nov 10, 2020Updated 5 years ago