Topic: kolmogorov-arnold-representation Goto Github
Some thing interesting about kolmogorov-arnold-representation
Some thing interesting about kolmogorov-arnold-representation
kolmogorov-arnold-representation,The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
User: adityang
Home Page: https://adityang.github.io/kan-gpt/
kolmogorov-arnold-representation,given beta-holder continuous function f:[0,1]^d -> R, this deep ReLU network approximates f up to approximation rate of 2^(-K beta) using 2^Kd parameters. Here, K is a set positive integer and d the dimension.
User: henkvdpol
kolmogorov-arnold-representation,NeuroBender, where the mystical powers of KAN network meet the robust stability of autoencoders!
User: jaroslawhryszko
kolmogorov-arnold-representation,Testing KAN-based text generation GPT models
User: kabachuha
kolmogorov-arnold-representation,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.
User: pranavgupta2603
kolmogorov-arnold-representation,Kolmogorov–Arnold Networks (KAN) in PyTorch
User: simon-bertrand
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