[ICLR2025] Kolmogorov-Arnold Transformer
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Mar 23, 2025 - Python
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kan
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ikan: many kan variants for every body
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Jul 17, 2025 - Python
This is the implementation of the paper Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions
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Jun 17, 2025 - Python
Parametric differentiable curves with PyTorch for continuous embeddings, shape-restricted models, or KANs
python machine-learning deep-learning interpolation pytorch embeddings curve-fitting spline kan b-splines parametric-curves legendre-polynomials kolmogorov-arnold-networks
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Jan 29, 2026 - Python
High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected a…
grid pytorch deeplearning spline fourier-series fluid-dynamics kan chebyshev-polynomials lagrange-polynomial-interpolation high-order-methods discontinuous pytorch-lightning piecewise-polynomial implicit-representions sparse-network hp-refinement
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Jun 24, 2024 - Python
Kolmogorov–Arnold Networks (KAN) in PyTorch
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May 5, 2024 - Python
Short experiment with Deep Q-Learning + KAN to play Flappy Bird.
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Aug 6, 2024 - Python
LinearKAN: A very fast implementation of Kolmogorov-Arnold Networks
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Nov 12, 2025 - Python
PyTorch implementation of QKAN "Quantum-inspired Kolmogorov-Arnold Network" https://arxiv.org/abs/2509.14026
machine-learning pytorch artificial-intelligence kan quantum-machine-learning quantum-inspired-algorithm kolmogorov-arnold-networks qkan
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Jan 2, 2026 - Python
Implicit representation of various things using PyTorch and high order layers
neural-network pytorch kan lagrange-interpolation high-order-methods piecewise-polynomial implicit-representions fourier-series-network discontinuous-polynomial-network piecewise-polynomial-network coordinate-mlp
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May 29, 2024 - Python
Neural Network Implicit Representation of Partial Differential Equations
neural-networks pde euler-equations fluid-dynamics gas-dynamics sod-shock-tube kan sirens high-order-networks implicit-representation
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Dec 5, 2025 - Python
Baantu Research: Hybrid KAN-Transformer for investigating learnable activations in LLM reasoning. Built on nanochat by Andrej Karpathy.
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Jan 8, 2026 - Python
A rigorous 2x3 factorial comparison of neural network architectures: KAN vs MLP feedforward layers combined with Transformer vs Mamba sequence models. Investigates whether KAN advantages stem from B-spline activations or network topology.
machine-learning research deep-learning pytorch transformer neural-networks mamba kan state-space-models pytorch-lightning kolmogorov-arnold-networks
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Jan 6, 2026 - Python
Empirical investigation of grokking in KAN. Key finding: KAN groks multiplication 12x faster than MLP!
machine-learning deep-learning pytorch neural-networks modular-arithmetic kan grokking mechanistic-interpretability kolmogorov-arnold-networks
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Dec 21, 2025 - Python
KAN to classify handwritten digits from the MNIST dataset, providing efficient predictions and automated data handling.
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Sep 20, 2024 - Python
A multi-agent deep reinforcement learning model to de-traffic our lives
reinforcement-learning dqn kan multi-agent-reinforcement-learning dqn-pytorch model-free-rl traffic-light-control sumo-rl kolmogorov-arnold-networks kaqn kaqn-pytorch
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Jun 8, 2024 - Python
Bottleneck KANConv for Unet
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Jul 5, 2024 - Python
Lightweight Kolmogorov-Arnold Network based model for Image Classification
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Oct 26, 2024 - Python
Experiments in language interpolation with high order sparse neural networks
natural-language-processing deep-learning gutenberg mamba lion kan high-order-methods pytorch-lightning piecewise-polynomial sparse-network sparse-mlp
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Oct 10, 2024 - Python
PyTorch implementation of Multifidelity Kolmogorov-Arnold Networks (MFKANs) for data-efficient learning. Train accurate models with sparse high-fidelity data by leveraging correlations with abundant low-fidelity data.
machine-learning deep-learning pytorch neural-networks transfer-learning function-approximation kan scientific-machine-learning multifidelity kolmogorov-arnold-networks
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Jan 8, 2026 - Python
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