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FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)

Jupyter Notebook 345 45 Updated Jun 20, 2024

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…

Jupyter Notebook 724 71 Updated Sep 25, 2024

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Python 3,919 347 Updated Aug 1, 2024

This is a capstone project on a real dataset related to segmenting low-grade glioma. This capstone project is included in the UpSchool Machine Learning & Deep Learning Program in partnership with G…

Jupyter Notebook 9 1 Updated Jan 30, 2023

Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images

Python 48 7 Updated Jun 17, 2024

Universal Transfer Learning in Porous Materials, including MOFs.

Python 85 12 Updated Jun 20, 2024

Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology

Jupyter Notebook 65 15 Updated May 4, 2022

Convert Machine Learning Code Between Frameworks

Python 14,022 5,769 Updated Sep 28, 2024

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

9,094 1,489 Updated Aug 31, 2023

Codes for the book "Julia for Data Analysis"

Jupyter Notebook 206 49 Updated Jan 16, 2024

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Python 34,910 4,056 Updated Sep 27, 2024

Official code for WACV 2021 paper - Compositional Learning of Image-Text Query for Image Retrieval

Python 55 17 Updated Oct 8, 2021

Graph Convolution Network for NLP

Jupyter Notebook 213 36 Updated May 22, 2023

Graph Convolutional Networks for Text Classification. AAAI 2019

Python 1,352 434 Updated Dec 29, 2021

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

Python 1,665 200 Updated Jun 24, 2024

A library for graph deep learning research

Python 1,852 281 Updated Jul 15, 2024

Python package for graph-based clustering and semi-supervised learning

Python 85 26 Updated Jul 18, 2024

links to conference publications in graph-based deep learning

Jupyter Notebook 4,744 773 Updated Sep 9, 2024

Build Graph Nets in Tensorflow

Python 5,348 781 Updated Dec 12, 2022

StellarGraph - Machine Learning on Graphs

Python 2 Updated Sep 26, 2021

StellarGraph - Machine Learning on Graphs

Python 2,936 430 Updated Apr 10, 2024

Graph Machine Learning, published by Packt

Jupyter Notebook 259 140 Updated Jan 18, 2023

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

Python 784 109 Updated Mar 24, 2023

This repository provides a reference implementation of struc2vec.

Python 382 115 Updated Jul 9, 2023

Model parallel transformers in JAX and Haiku

Python 6,279 892 Updated Jan 21, 2023

Webinar on Edge Computing using TFLite

Jupyter Notebook 2 2 Updated Aug 16, 2021

Python client for Pachyderm

Python 90 30 Updated May 21, 2024
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