Alternatives and similar repositories for FKAN:

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

• alwaysbyx / Time-series-prediction-using-Neural-ODE-and-Neural-Flow
  Comparison for time series prediction using Neural-ODEs and Neural-Flows
  ☆15Updated 2 years ago
• Boris-73-TA / OrthogPolyKANs
  Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.
  ☆35Updated 4 months ago
• automl / Mamba4Cast
  Mamba4Cast, a zero-shot time series forecasting model, achieves competitive performance and faster inference than transformer-based model…
  ☆21Updated 5 months ago
• JonasSievers / Transformer-based-Federated-Learning-for-Load-Forecasting
  Source code for our ICCEP paper "Secure short-term load forecasting for smart grids with transformer-based federated learning".
  ☆11Updated last year
• SpaceLearner / JacobiKAN
  Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.
  ☆37Updated 10 months ago
• mpoluektov / kan-polar
  Kolmogorov-Arnold Networks in MATLAB
  ☆42Updated 2 months ago
• gorgen2020 / HSPGNN
  Physics-incorporated Graph Neural Network Using Dynamic Higher-Order Spatio-temporal Graphs for Multivariate Time Series Imputation
  ☆14Updated 8 months ago
• seydi1370 / Basis_Functions
  ☆14Updated 9 months ago
• XiangboGaoBarry / KA-Conv
  Fast Convolutional KAN
  ☆58Updated 10 months ago
• hoangthangta / BSRBF_KAN
  Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)
  ☆25Updated 2 months ago
• alirezaafzalaghaei / fKAN
  Implementation of Fractional Kolmogorov-Arnold Network (fKAN)
  ☆22Updated 2 months ago
• HySonLab / GraphLASSO
  Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting
  ☆12Updated last year
• hhyqhh / KAN-EA
  ☆17Updated 10 months ago
• ROBUST-NL / paused_ev_charging
  Source code for the paper titled: "Unlocking the full potential of smart charging: Addressing paused and delayed charging problems in ele…
  ☆11Updated 10 months ago
• haochenglouis / RobustTSF
  [ICLR 2024] Official code of RobustTSF
  ☆19Updated last year
• Ghaith81 / dropkan
  DropKAN (Dropout Kolmogorov Arnold Networks)
  ☆12Updated 8 months ago
• yiruiliu110 / df2m
  The code to replicate the experiments in the paper "Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series vi…
  ☆9Updated last year
• GitTeaching / Predicting-using-Neural-ODE
  Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.
  ☆15Updated 4 years ago
• alirezaafzalaghaei / rKAN
  Implementation of Rational Kolmogorov-Arnold Network (rKAN)
  ☆13Updated 9 months ago
• MunzirH / Applications-of-Physics-Informed-Machine-Learning
  🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…
  ☆11Updated 4 months ago
• salomonhotegni / MDMTN
  Source code for the IJCNN2024 paper titled "Multi-Objective Optimization for Sparse Deep Multi-Task Learning"
  ☆13Updated 3 weeks ago
• LSY-Cython / DiffCharge
  ☆24Updated last year
• icannotnamemyself / FAN
  ☆14Updated 4 months ago
• chennnnnyize / LLM_Impact_Energy_Systems
  Modeling and Investigating the LLM electricity demand's impacts on Power and Energy Systems
  ☆12Updated 2 months ago
• sidhu2690 / RBF-KAN
  This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.
  ☆28Updated 9 months ago
• xuangu-fang / BayOTIDE
  BayOTIDE-Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (ICML 2024 spotlight)
  ☆30Updated 8 months ago
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆36Updated last year
• jiequancui / DKL
  Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024 / Generalized Kullback-Leibler Divergence Loss (GKL)
  ☆43Updated last week
• apivich-h / pinnacle
  🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection
  ☆16Updated 8 months ago
• yuanyige / pde-add
  [AAAI 2024] PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
  ☆22Updated last year