Ecosyste.ms: Repos
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GitHub topics: kolmogorov-arnold-representation
AdityaNG/kan-gpt
The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
Language: Python - Size: 3.03 MB - Last synced: 4 days ago - Pushed: 5 days ago - Stars: 608 - Forks: 46
pranavgupta2603/KAN-Distillation
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.
Language: Python - Size: 2.35 MB - Last synced: 22 days ago - Pushed: 22 days ago - Stars: 0 - Forks: 0
kabachuha/nanoGPKANT
Testing KAN-based text generation GPT models
Language: Jupyter Notebook - Size: 583 KB - Last synced: 27 days ago - Pushed: 27 days ago - Stars: 1 - Forks: 0
Simon-Bertrand/KAN-PyTorch
Kolmogorov–Arnold Networks (KAN) in PyTorch
Language: Python - Size: 3.35 MB - Last synced: 27 days ago - Pushed: 28 days ago - Stars: 1 - Forks: 0
JaroslawHryszko/NeuroBender
NeuroBender, where the mystical powers of mathematical complexity meet the robust stability of autoencoders!
Language: Python - Size: 21.5 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 1 - Forks: 0
HenkvdPol/ReLU-Network-for-KA-approximation
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.
Language: Python - Size: 12.7 KB - Last synced: 6 months ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0
