Showing 1-13 of 13 projects
A comprehensive collection of deep learning tutorials, articles, and resources for developers.
Implementation of Graph Convolutional Networks in TensorFlow for machine learning on graph-structured data.
A PyTorch library for processing spatiotemporal graph data using neural machine learning models.
A distributed graph deep learning framework for building graph-based AI models and applications.
This project provides a code repository for the book "Dive into Graph Neural Networks: Understanding GNN Principles".
A Temporal Graph Convolutional Network for predicting urban traffic flow using time-series data.
PaddleVideo is a powerful toolkit for video understanding tasks like action recognition, localization, and detection.
PyTorch implementation of a multi-label image recognition model using graph convolutional networks.
A graph convolutional network for text classification, useful for NLP tasks and AI-powered applications.
PyTorch implementation and explanation of popular graph representation learning papers.
A deep learning library for EEG tasks classification, built with TensorFlow.
A library of recommendation algorithms based on Graph Neural Networks for information retrieval and recommendation systems.
A next-generation recommendation system library for building AI-powered content discovery platforms.
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