Alternatives and similar repositories for fluidnet_cxx

Users that are interested in fluidnet_cxx are comparing it to the libraries listed below

• timudk / SPDENN
  A Discussion on Solving Partial Differential Equations using Neural Networks
  ☆66Updated 6 years ago
• ericjang / pt-jax
  Path Tracing in JAX
  ☆71Updated 5 years ago
• google-research / neural-structural-optimization
  Neural reparameterization improves structural optimization
  ☆125Updated 4 years ago
• NVIDIA / pynvrtc
  Python Binding to NVRTC
  ☆79Updated last year
• danielewworrall / cubenet
  3D Roto-translation equivariant convolutions
  ☆54Updated 6 years ago
• osqp / osqpth
  The differentiable OSQP solver layer for PyTorch
  ☆64Updated 2 years ago
• golkar / backdrop
  Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.
  ☆68Updated 7 years ago
• gdebie / stochastic-deep-networks
  Stochastic Deep Networks
  ☆17Updated 6 years ago
• b45ch1 / algopy
  AlgoPy is a Research Prototype for Algorithmic Differentation in Python
  ☆87Updated last year
• lixilinx / psgd_tf
  Tensorflow implementation of preconditioned stochastic gradient descent
  ☆34Updated last year
• berleon / deepdecoder
  ☆51Updated 2 years ago
• hep-lbdl / CaloGAN
  Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
  ☆111Updated last year
• el3ment / spectral_representations_for_convolutional_neural_networks
  ☆41Updated 9 years ago
• thunil / tempoGAN
  Source code for the SIGGRAPH paper "tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow"
  ☆183Updated 5 years ago
• PrincetonLIPS / randomized_telescopes
  Code for "Efficient optimization of loops and limits with randomized telescoping sums"
  ☆27Updated 6 years ago
• PrincetonLIPS / RandomizedAutomaticDifferentiation
  Experiment code for "Randomized Automatic Differentiation"
  ☆67Updated 5 years ago
• ebekkers / gsplinets
  B-Spline CNNs on Lie groups
  ☆55Updated 5 years ago
• Orcuslc / OrthNet
  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
  ☆31Updated 7 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• sniklaus / pytorch-extension
  an example of a CUDA extension for PyTorch using CuPy which computes the Hadamard product of two tensors
  ☆119Updated 5 months ago
• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆42Updated 6 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆27Updated 7 years ago
• amkatrutsa / DeepPDE
  Deep Learning application to the partial differential equations
  ☆30Updated 7 years ago
• cchangyou / Santa
  Code for the Santa algorithm for deep learning
  ☆17Updated 7 years ago
• tum-pbs / LSIM
  LSiM is a learned metric to compute distance values for 2D data from numerical simulations
  ☆28Updated 2 years ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 5 years ago
• diana-hep / c2numpy
  Pure-header, no dependency C/C++ code to write Numpy files (.npy)
  ☆12Updated 8 years ago
• NVIDIA / Eigensolver_gpu
  GPU Eigensolver for symmetric/hermitian matrices.
  ☆67Updated 4 years ago
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆98Updated 3 years ago
• flaport / torch_sparse_solve
  A sparse KLU solver for PyTorch.
  ☆66Updated 3 years ago