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Simple, functional authorization library and role management for ruby
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 and convolutional layers included.
Testing KAN-based text generation GPT models
Kolmogorov–Arnold Networks (KAN) in PyTorch
An attempt to translate ekmett's beautiful Kan library from Haskell to Scala.
Implicit representation of various things using PyTorch and high order layers
Neural Network Implicit Representation of Partial Differential Equations
Development of interactive platforms for city modeling and digital twins using React and MapLibre
KAE : KAN-based AutoEncoder (AE, VAE, VQ-VAE, RVQ, etc.)
Experiments in language interpolation with high order sparse neural networks
DEV Together - The 21 days project: It provides developers and employers a platform to grow, explore and invest.
Different projects to discover Data Science
Kolmogorov Arnold Network Gated State Spaces Language Model
An implementation of the KAN architecture using learnable activation functions for knowledge distillation on the MNIST handwritten digits dataset. The project demonstrates distilling a three-layer teacher KAN model into a more compact two-layer student model, comparing the performance impacts of distillation versus non-distilled models.