jolibrain / fluidnet_cxxLinks
FluidNet re-written with ATen tensor lib
☆52Updated 6 years ago
Alternatives and similar repositories for fluidnet_cxx
Users that are interested in fluidnet_cxx are comparing it to the libraries listed below
Sorting:
- A Discussion on Solving Partial Differential Equations using Neural Networks☆66Updated 6 years ago
- Python Binding to NVRTC☆79Updated last year
- The differentiable OSQP solver layer for PyTorch☆64Updated 2 years ago
- Neural reparameterization improves structural optimization☆125Updated 4 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- 3D Roto-translation equivariant convolutions☆54Updated 6 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆87Updated last year
- ☆82Updated 8 years ago
- Generating 3D CAD models with manifolds trained by Gaussian Process Latent Variable Models☆21Updated 9 years ago
- Path Tracing in JAX☆71Updated 5 years ago
- Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation☆111Updated last year
- ☆51Updated 2 years ago
- ☆38Updated 7 years ago
- ☆41Updated 9 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- Python Framework for sparse neural networks☆19Updated 8 years ago
- Deep Learning application to the partial differential equations☆30Updated 7 years ago
- GPU Eigensolver for symmetric/hermitian matrices.☆67Updated 4 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- compressing physics with neural networks☆157Updated 7 years ago
- Source code for the SIGGRAPH paper "tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow"☆183Updated 5 years ago
- A Lattice Boltzmann fluid flow simulation written in Tensorflow.☆127Updated 7 years ago
- Direct C++ Interface to PyTorch☆81Updated 7 years ago
- just a few trouble shooting tips I have found for training variational autoencoders. All code in tensorflow☆23Updated 9 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Repository for the fertilized forests project.☆35Updated 5 years ago
- Optizelle [op-tuh-zel] is an open source software library designed to solve general purpose nonlinear optimization problems.☆67Updated 5 years ago
- ☆67Updated 7 years ago
- LSiM is a learned metric to compute distance values for 2D data from numerical simulations☆28Updated 2 years ago