rkansal47 / MPGANLinks
The message passing GAN https://arxiv.org/abs/2106.11535 and generative adversarial particle transformer https://arxiv.org/abs/2211.10295 architectures for generating particle clouds
☆13Updated 3 weeks ago
Alternatives and similar repositories for MPGAN
Users that are interested in MPGAN are comparing it to the libraries listed below
Sorting:
- For developing and reproducing ML + HEP projects.☆24Updated 3 weeks ago
- Implementation of the jet classification network in ParticleNet: Jet Tagging via Particle Clouds☆49Updated 5 years ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆67Updated 9 months ago
- Running PDEs on graph☆29Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆53Updated 2 years ago
- ☆62Updated 2 years ago
- ☆35Updated 2 years ago
- Learning Green's functions of partial differential equations with deep learning.☆72Updated last year
- Equivariant Mesh Attention Networks☆20Updated 3 years ago
- Code and instructions to reproduce the results of our NeurIPS 2019 paper☆14Updated 2 years ago
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Updated 2 years ago
- ☆13Updated 4 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆75Updated 2 weeks ago
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆166Updated 3 years ago
- Source code for the ICLR'22 paper on "Half-Inverse Gradients"☆19Updated 3 years ago
- PyTorch-FEniCS interface☆102Updated 4 years ago
- Implement efficient jacobian method available for most pytorch networks☆44Updated 5 years ago
- ☆24Updated 2 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated last month
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆41Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago
- ☆25Updated last year
- ☆15Updated 2 years ago
- ☆127Updated 2 years ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆35Updated 5 years ago
- Variational Autoencoder for Particle Physics using Earth-Movers Distance☆13Updated 3 years ago
- LSiM is a learned metric to compute distance values for 2D data from numerical simulations☆28Updated 2 years ago
- Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.☆59Updated 3 years ago
- Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, so…☆31Updated 2 months ago