Alternatives and similar repositories for random-fourier-features-pytorch

Users that are interested in random-fourier-features-pytorch are comparing it to the libraries listed below

• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆51Updated 5 years ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆166Updated 3 years ago
• google-deepmind / functa
  ☆160Updated last year
• samuelepapa / neural-field-arena
  ☆12Updated 2 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated last year
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆125Updated 2 years ago
• vishwa91 / wire
  wavelet implicit neural representations
  ☆172Updated 2 years ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆50Updated 6 months ago
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆96Updated 4 years ago
• xqding / RealNVP
  A PyTorch Implementation of Density Estimation Using Real NVP
  ☆82Updated 4 years ago
• FrederikWarburg / LaplaceAE
  ☆33Updated 3 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆71Updated 2 years ago
• Typal-Research / jacobian_free_backprop
  Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).
  ☆41Updated 4 years ago
• gortizji / inr_dictionaries
  Source code of "A structured dictionary perspective on implicit neural representations"
  ☆61Updated 3 years ago
• locuslab / ImpSq
  Implicit^2: Implicit model for implicit neural representations
  ☆29Updated 4 years ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆61Updated 3 years ago
• locuslab / deq-ddim
  ☆63Updated 2 years ago
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆152Updated 2 years ago
• marvin-eisenberger / implicit-sinkhorn
  ☆74Updated 2 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆41Updated last month
• ELIFE-ASU / INNLab
  A python/pytorch package for invertible neural networks
  ☆71Updated 2 years ago
• neuraloperator / DSNO
  ☆33Updated last year
• EmilienDupont / coinpp
  Pytorch implementation of COIN++ 🍁
  ☆74Updated 3 years ago
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆52Updated 3 years ago
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆209Updated 2 years ago
• psh01087 / Vid-ODE
  Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
  ☆62Updated 2 years ago
• jw9730 / setvae
  [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
  ☆77Updated 3 years ago
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆79Updated 2 years ago
• yinboc / trans-inr
  Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022
  ☆158Updated 3 years ago
• willGuimont / learnable_fourier_positional_encoding
  Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding
  ☆55Updated last year