Alternatives and similar repositories for dropkan

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

• GilpinLab / dysts_data
  Data files for the main dysts repository
  ☆19Updated 3 months ago
• Boris-73-TA / OrthogPolyKANs
  Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.
  ☆39Updated last year
• seydi1370 / Basis_Functions
  ☆16Updated last year
• SpaceLearner / JacobiKAN
  Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.
  ☆42Updated last year
• hoangthangta / All-KAN
  All-KAN: All Kolmogorov-Arnold Networks We Know
  ☆28Updated last month
• rachtsy / MomentumSMoE
  Implementation for MomentumSMoE
  ☆19Updated 8 months ago
• XiangboGaoBarry / KA-Conv
  Fast Convolutional KAN
  ☆66Updated last year
• tonyzyl / DiffusionReconstruct
  Benchmarking of diffusion models for global field reconstruction from sparse observations
  ☆28Updated last year
• zavareh1 / Wav-KAN
  This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…
  ☆156Updated 7 months ago
• hoangthangta / FC_KAN
  FC-KAN: Function Combinations in Kolmogorov-Arnold Networks
  ☆36Updated this week
• xuangu-fang / Gaussian-Process-Slover-for-High-Freq-PDE
  Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)
  ☆25Updated last year
• thuml / RoPINN
  About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369
  ☆59Updated 5 months ago
• hoangthangta / BSRBF_KAN
  Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)
  ☆28Updated last month
• alirezaafzalaghaei / rKAN
  Implementation of Rational Kolmogorov-Arnold Network (rKAN)
  ☆18Updated last year
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆49Updated 4 months ago
• 7tl7qns7ch / IPOT
  Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)
  ☆15Updated last year
• alirezaafzalaghaei / fKAN
  Implementation of Fractional Kolmogorov-Arnold Network (fKAN)
  ☆27Updated 11 months ago
• mpoluektov / kan-polar
  Kolmogorov-Arnold Networks in MATLAB
  ☆57Updated 6 months ago
• pde-sim / teng
  Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"
  ☆15Updated last year
• WooJin-Cho / Parameterized-Physics-informed-Neural-Networks
  ☆29Updated last year
• gaurav71531 / mwt-operator
  Multiwavelets-based operator model
  ☆69Updated 3 years ago
• simone7monaco / PINNTrainingStrategies
  Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"
  ☆13Updated 3 years ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆28Updated 2 years ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆37Updated last year
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆79Updated 9 months ago
• delta-lab-ai / pde-controller
  ☆25Updated 7 months ago
• AI4Science-WestlakeU / wdno
  [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆53Updated 4 months ago
• apivich-h / pinnacle
  🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection
  ☆27Updated last year
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆19Updated last year
• Jerry-Master / KAN-benchmarking
  Benchmark for efficiency in memory and time of different KAN implementations.
  ☆137Updated last year