DEV Together - The 21 days project: It provides developers and employers a platform to grow, explore and invest.
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Sep 10, 2022 - JavaScript
DEV Together - The 21 days project: It provides developers and employers a platform to grow, explore and invest.
Project in progress; implementing a KAN-based (instead of traditional multilayer-perceptron) Convolutional Neural Network (CNN) and creating an interface to run optimized algorithms, such as FFTconvolve and DMA tiling-based convolution, on MCUs such as an STM32 microcontroller (what I'm starting with)
The Scientific Project for 2023-2024 focuses on modeling exchange bias in heterostructural magnetic nanoparticles.
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.
Implementation of Kolmogorov-Arnold Networks (KAN) in PyTorch with novel enhancements 🔥
Implementation of GPT2 using ChebyKAN
Explore KAN-based Autoencoder recommemder systems
This repository was created by Flatlogic Platform: https://flatlogic.com/generator | Application page: https://kan.flatlogic.app
Experiments in language interpolation with high order sparse neural networks
A complete list of papers on Kolmogorov-Arnold Networks (KANs) extracted from arXiv
This Repository is an architectural implementation of Sym-KAN-TP-Transformer, Sym-KAN-TP-Transformer is a seq2seq model, which is designed for Symbolic Calculation tasks used in HEP, sym-kan-tp-transformer is capable of generating and validating symbolic expressions and it also brings the interpretability aspect into the model
A kan-md project focusing on 7. 未来工作, 分子动力学 (MD) 模型需求, 4. KAN在分子动力学中的应用, 5.3 Experimental Results and Analysis, 2.1 分子动力学的传统方法.
This repository contains the code, experimental setup, and replication material for the paper “In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks.”
Source code of the paper "Compare Transformer, KAN and KANsformer for Weather Nowcasting on IoT Devices in the Mediterrean Area"
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