Loading repository data…
Nayan12123 / repository
This repository consists of a jupyter Notebook for implementation of KAN's for classification task. AIDS Disease classification data has been used.
This repository consists of a jupyter Notebook for implementation of KAN's for classification task. AIDS Disease classification data has been used.
These are state of the art machine learning architecture where the activation functions are not fixed. Instead the activation functions too are learnable using b-splines. As per the implementation it can be seen that the model using KAN architecture performs better with the lesser number of parameters as compared to ANN. But they also face common problems of overfitting and comparatively slower training.
The notebook consists of implementation of KAN using the pykan library
Selected from shared topics, language and repository description—not editorial ratings.
ADVAIT135 /
This Repository consists of all the Jupyter Notebook (.ipynb) files, python files, excel sheets which are a part of the BCGX's Gen AI Virtual Job Simulation that is hosted on Forage.
ADVAIT135 /
This Repository consist of all the Jupyter Notebooks, Images and .CSV files of the tasks that were assigned during the Accenture Data Analytics Job Sim hosted on Forage
NatashiaKaurRaina /
This repository consists all the slide, jupyter notebooks, assignments and projects covered in my Introduction to Quantum Computing course on Youtube.
manupillai308 /
This repository consists of jupyter notebooks and scripts used in the Youtube Series: Introduction to Digital Image Processing
fazildgr8 /
This repository consists a set of Jupyter Notebooks with a different Deep Learning methods applied. Each notebook gives walkthrough from scratch to the end results visualization hierarchically. The Deep Learning methods include Multiperceptron layers, CNN, GAN, Autoencoders, Sequential and Non-Sequential deep learning models. The fields applied includes Image Classification, Time Series Prediction, Recommendation Systems , Anomaly Detection and Data Analysis.
HarshCasper /
This repository consists of the various Jupyter Notebooks that were written to perform analysis on the different Open-Source Datasets available on Health Parameters and different disease, namely: Breast Cancer, Diabetes Analysis, Heart Disease, Kidney Disease and Liver Disease.