Alternatives and similar repositories for spectral-universality

Users that are interested in spectral-universality are comparing it to the libraries listed below

• akandykeller / NeuralWaveMachines
  Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …
  ☆74Updated 2 years ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆58Updated last year
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆58Updated 4 months ago
• hadivafaii / IterativeVAE
  Brain-like variational inference
  ☆57Updated 4 months ago
• gengala / egnca
  Official implementation of E(n)-equivariant Graph Neural Cellular Automata
  ☆31Updated last week
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆37Updated last year
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆53Updated last year
• MJHutchinson / ExtrinsicGaugeIndependentVectorGPs
  A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes
  ☆25Updated 3 years ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆48Updated 3 months ago
• gabrielraya / symmetry_breaking_diffusion_models
  Official repository of "Spontaneous symmetry breaking in generative diffusion models"
  ☆43Updated last year
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆43Updated last year
• maxxxzdn / implicit-steerable-kernels
  Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]
  ☆29Updated 7 months ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year
• IDSIA / neuraldiffeq-fwp
  Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…
  ☆23Updated 4 months ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆47Updated 2 years ago
• google-deepmind / dm_hamiltonian_dynamics_suite
  ☆35Updated 3 years ago
• katalinic / sdflows
  JAX exponential map normalising flows on sphere
  ☆17Updated 5 years ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated 2 years ago
• mfinzi / residual-pathway-priors
  ☆22Updated 3 years ago
• normal-computing / thermox
  Exact OU processes with JAX
  ☆53Updated 6 months ago
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆48Updated 3 years ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆121Updated 2 years ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆90Updated last year
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆19Updated 3 years ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆156Updated 11 months ago
• geometric-intelligence / neurometry
  Quantify geometric intelligence in natural and artificial brains.
  ☆51Updated 3 months ago
• sophiaas / bispectral-networks
  Official PyTorch implementation of Bispectral Neural Networks, ICLR 2023
  ☆26Updated 6 months ago