google-deepmind / inverse_design

Related projects ⓘ

Alternatives and complementary repositories for inverse_design

• holl- / PDE-Control
  Code for the ICLR 2020 paper "Learning to Control PDEs"
  ☆31Updated 4 years ago
• vdorbs / spherical-generative-modeling
  ☆16Updated last year
• tum-pbs / half-inverse-gradients
  Source code for the ICLR'22 paper on "Half-Inverse Gradients"
  ☆17Updated 2 years ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆37Updated 9 months ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆35Updated last year
• tum-pbs / SIP
  Scale-invariant Learning by Physics Inversion (NeurIPS 2022)
  ☆10Updated 2 years ago
• ajayjain / journey-diffusion-samplers
  Code for "Journey to the BAOAB-limit: finding effective MCMC samplers for score-based models". See more at https://ajayj.com/journey.
  ☆12Updated last year
• gallego-posada / eman
  Equivariant Mesh Attention Networks
  ☆21Updated 2 years ago
• peterchencyc / CROM_online_deployment
  ☆14Updated last year
• neel-dey / equivariant-gans
  [ICLR 2021] Group Equivariant Generative Adversarial Networks.
  ☆13Updated 3 years ago
• georgosgeorgos / trajectory-alignment-diffusion
  Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023
  ☆9Updated last year
• tum-pbs / SMDP
  Solving Inverse Physics Problems with Score Matching
  ☆21Updated 11 months ago
• cptq / Sign-Equivariant-Nets
  Expressive Sign Equivariant Networks for Spectral Geometric Learning
  ☆16Updated 10 months ago
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆36Updated 11 months ago
• tum-pbs / VOLSIM
  VolSiM, a CNN-based metric to compute the similarity of 3D data from numerical simulations
  ☆15Updated last year
• locuslab / ImpSq
  Implicit^2: Implicit model for implicit neural representations
  ☆27Updated 3 years ago
• maxxxzdn / clifford-group-equivariant-cnns
  Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"
  ☆40Updated 3 months ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆41Updated last year
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆22Updated 9 months ago
• anonymous-code-0 / lie-transformer
  Authors implementation of LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆37Updated 3 years ago
• emmanuel-hartman / H2_SurfaceMatch
  ☆17Updated 11 months ago
• twmitchel / TS2Kit
  Differentiable Spherical Harmonic Transforms in PyTorch
  ☆17Updated 2 years ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆35Updated 2 years ago
• peterparity / conservation-laws-manifold-learning
  Discovering Conservation Laws using Optimal Transport and Manifold Learning
  ☆16Updated last year
• luckystarufo / SIREN_out_of_sample_tests
  A quick test of SIREN on out-of-sample tasks
  ☆13Updated 4 years ago
• ermongroup / Neural-PDE-Solver
  ☆15Updated 4 years ago
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆73Updated 11 months ago
• ml-for-gp / jaxgptoolbox
  Geometry processing utilities compatible with jax for autodifferentiation.
  ☆84Updated last year
• elizabethnewman / hessQuik
  Computing gradients and Hessians of feed-forward networks with GPU acceleration
  ☆19Updated 9 months ago
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆62Updated last year