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

• vishwa91 / wire
  wavelet implicit neural representations
  ☆163Updated last year
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆95Updated 4 years ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆152Updated 2 years ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆94Updated last year
• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆48Updated 5 years ago
• gortizji / inr_dictionaries
  Source code of "A structured dictionary perspective on implicit neural representations"
  ☆60Updated 3 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated last year
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆72Updated 2 years ago
• VITA-Group / INSP
  [NeurIPS 2022] "Signal Processing for Implicit Neural Representations" by Dejia Xu*, Peihao Wang*, Yifan Jiang, Zhiwen Fan, Zhangyang Wan…
  ☆52Updated 2 years ago
• google-deepmind / functa
  ☆157Updated 10 months ago
• yinboc / trans-inr
  Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022
  ☆153Updated 2 years ago
• VITA-Group / Neural-Implicit-Dict
  [ICML 2022] "Neural Implicit Dictionary via Mixture-of-Expert Training" by Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang
  ☆40Updated last year
• samuelepapa / neural-field-arena
  ☆12Updated last year
• NVlabs / RED-diff
  ☆90Updated 2 years ago
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆108Updated 6 years ago
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆51Updated 2 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆78Updated 4 years ago
• Typal-Research / jacobian_free_backprop
  Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).
  ☆37Updated 3 years ago
• ELIFE-ASU / INNLab
  A python/pytorch package for invertible neural networks
  ☆67Updated 2 years ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆45Updated this week
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆71Updated last year
• EmilienDupont / coinpp
  Pytorch implementation of COIN++ 🍁
  ☆72Updated 2 years ago
• sun-umn / DMPlug
  This is the official implementation of "DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models" (NeurIPS 2024).
  ☆55Updated 8 months ago
• shekshaa / ResidualMFN
  Pytorch Implementation of Residual Multiplicative Filter Networks, NeurIPS 2022
  ☆22Updated 2 years ago
• annegnx / PnP-Flow
  Code for PnP-Flow: Plug-and-Play image restoration with Flow Matching (ICLR 2025)
  ☆86Updated 3 months ago
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆84Updated 4 months ago
• devzhk / InverseBench
  InverseBench (ICLR 2025 spotlight)
  ☆52Updated this week
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆205Updated 2 years ago
• locuslab / deq-ddim
  ☆61Updated 2 years ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆59Updated 3 years ago