Kolmogorov-Arnold Networks
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Papers presenting models which utilize Kolmogorov-Arnold networks as their underlying architecture.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Ali-Meh619/FKAN
공식 코드Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks
https://github.com/Ali-Stanford/KAN_PointNet_CFD
공식 코드Kolmogorov-Arnold PointNet: Deep learning for prediction of fluid fields on irregular geometries
https://github.com/DUCH714/SincKAN
공식 코드Sinc Kolmogorov-Arnold Network and Its Applications on Physics-informed Neural Networks
https://github.com/GMC-DRL/MetaBox
공식 코드Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study
https://github.com/HuSTeP-Human-Speech-Text-Processing-Lab/XLSR-GRKAN-Conformer
공식 코드https://github.com/M-Wolff/CVKAN
공식 코드https://github.com/MrPio/KAN-Continual_Learning_tests
공식 코드A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks
https://github.com/OSU-STARLAB/MatrixKAN
공식 코드https://github.com/RomanBresson/KAGNN
공식 코드https://github.com/Shiyan-cps/PointKAN-pytorch
공식 코드https://github.com/ZhangJiayi24/KAN_GCN_Traffic
공식 코드TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow Optimization
https://github.com/ZiyaoLi/fast-kan
공식 코드Kolmogorov-Arnold Networks are Radial Basis Function Networks
https://github.com/afrah/pinn_learnable_activation
공식 코드https://github.com/aj1365/hsiconvkan
공식 코드How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification
https://github.com/alessandro-canevaro/KAN-OOD
공식 코드Advancing Out-of-Distribution Detection via Local Neuroplasticity
https://github.com/ali-stanford/pointnet_kan_graphic
공식 코드PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets
https://github.com/alirezaafzalaghaei/fKAN
공식 코드fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions
https://github.com/alirezaafzalaghaei/rkan
공식 코드https://github.com/amaha7984/kan-cut
공식 코드https://github.com/aminmoradixl/kan_ae
공식 코드https://github.com/amrmalkhatib/ViaSHAP
공식 코드https://github.com/ancientshi/karsein
공식 코드CTR-KAN: KAN for Adaptive High-Order Feature Interaction Modeling
https://github.com/antoniotepsich/convolutional-kans
공식 코드https://github.com/aqasch/kanqas_code
공식 코드KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search
https://github.com/artsasse/fedkan
공식 코드Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data
https://github.com/ashimdahal/study-of-convolutional-kolmogorov-arnold-networks
공식 코드https://github.com/axning/ksid
공식 코드https://github.com/cfrslyr/Experiments
공식 코드Function Fitting Based on Kolmogorov-Arnold Theorem and Kernel Functions
https://github.com/chang-george-dong/kan-for-tsc
공식 코드Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis
https://github.com/chensong1995/ppln
공식 코드PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond
https://github.com/chikkkit/larctan-skan
공식 코드https://github.com/chikkkit/lss-skan
공식 코드LSS-SKAN: Efficient Kolmogorov-Arnold Networks based on Single-Parameterized Function
https://github.com/cuc-chen/kan4iqa
공식 코드Exploring Kolmogorov-Arnold networks for realistic image sharpness assessment
https://github.com/darthreca/crop-field-segmentation-ukan
공식 코드KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation
https://github.com/data-eng/seqKAN
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.