Kolmogorov-Arnold Transformer: A PyTorch Implementation with CUDA kernel

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 a…

KAE : KAN-based AutoEncoder (AE, VAE, VQ-VAE, RVQ, etc.)

Kolmogorov–Arnold Networks (KAN) in PyTorch

Short experiment with Deep Q-Learning + KAN to play Flappy Bird.

Testing KAN-based text generation GPT models

An attempt to translate ekmett's beautiful Kan library from Haskell to Scala.

This is the implementation of the paper Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions

Implicit representation of various things using PyTorch and high order layers

Experiments on using Kolmogorov-Arnold Networks (KAN) on Graph Learning

Neural Network Implicit Representation of Partial Differential Equations

Kolmogorov-Arnold Networks simple implementation using pytorch

Example of replacing MLP with KAN in autoencoder(AE) and variational autoencoder(VAE)

Continual Learning with KAN based ViT to mitigate catastrophic forgetting

GAN implemented with KAN convolution

Bottleneck KANConv for Unet

Development of interactive platforms for city modeling and digital twins using React and MapLibre

Waterloo Jam League

A multi-agent deep reinforcement learning model to de-traffic our lives