Alternatives and similar repositories for rKAN:

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

• alirezaafzalaghaei / fKAN
  Implementation of Fractional Kolmogorov-Arnold Network (fKAN)
  ☆23Updated 3 months ago
• SpaceLearner / JacobiKAN
  Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.
  ☆38Updated 11 months ago
• Muyuzhierchengse / TaylorKAN
  ☆11Updated 3 months ago
• Boris-73-TA / OrthogPolyKANs
  Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.
  ☆36Updated 5 months ago
• sidhu2690 / RBF-KAN
  This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.
  ☆28Updated 10 months ago
• seydi1370 / Basis_Functions
  ☆14Updated 10 months ago
• wanjiaZhao1203 / TREAT
  [NeurIPS 2024] Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
  ☆22Updated 6 months ago
• apivich-h / pinnacle
  🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection
  ☆19Updated 9 months ago
• AI4Science-WestlakeU / wdno
  [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆24Updated last week
• Ghaith81 / dropkan
  DropKAN (Dropout Kolmogorov Arnold Networks)
  ☆12Updated 8 months ago
• hoangthangta / FC_KAN
  FC-KAN: Function Combinations in Kolmogorov-Arnold Networks
  ☆32Updated 2 months ago
• zhangbingliang2019 / STeP
  STeP: a general and scalable framework for solving video inverse problems with spatiotemporal diffusion priors
  ☆15Updated last week
• mlsquare / xKAN
  Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc
  ☆33Updated 11 months ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆14Updated 7 months ago
• HrishikeshVish / GIOROM
  Main repo for GIOROM
  ☆10Updated 3 weeks ago
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆24Updated 11 months ago
• XiangboGaoBarry / KA-Conv
  Fast Convolutional KAN
  ☆58Updated 11 months ago
• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆32Updated 11 months ago
• hoangthangta / BSRBF_KAN
  Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)
  ☆25Updated 3 months ago
• jlamprou / Fourier-Analysis-Networks-FAN
  A pytorch implementation of Fourier Analysis Networks (FAN)
  ☆34Updated 6 months ago
• Jerry-Master / KAN-benchmarking
  Benchmark for efficiency in memory and time of different KAN implementations.
  ☆121Updated 8 months ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆39Updated last year
• lim0606 / ddo
  Official codebase for "Score-based Diffusion Models in Function Space"
  ☆11Updated 3 months ago
• davecasp / add-thin
  This is the reference implementation of our NeurIPS 2023 paper "Add and Thin: Diffusion for Temporal Point Processes"
  ☆18Updated last year
• GistNoesis / FusedFourierKAN
  C++ and Cuda ops for fused FourierKAN
  ☆78Updated 11 months ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆44Updated 3 months ago
• stathius / sd-vae
  Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"
  ☆14Updated last year
• Zhangyanbo / MLP-KAN
  Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)
  ☆103Updated 5 months ago
• mikemccabe210 / stabilizing_neural_operators
  ☆16Updated 5 months ago
• belkakari / implicit-kan
  Kolmogorov-Arnold networks (KAN) as implicit functions (like NeRF but simpler)
  ☆14Updated 11 months ago