IEEE

Activity Graph Based Convolutional Neural Network for Human Activity Recognition Using Acceleration and Gyroscope Data

Abstract: Human activity recognition (HAR) using smartphone sensors have been recently studied in various applications including healthcare, fitness, and smart home. Their recognition accuracy often ...
IEEE

PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration

Abstract: Performing training and inference for Graph Neural Networks (GNNs) under tight latency constraints has become increasingly difficult as real-world input graphs continue to grow. Compared to ...
GitHub

[RFC]: Diffusion Models Acceleration Supports Plan #814

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
GitHub

XShinnosuke : Deep Learning Framework

Deep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration - E1eveNn/xshinnosuke ...