Code for paper "EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices"
-
Updated
Jul 22, 2026 - Python
Code for paper "EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices"
A low-latency and fault-tolerant framework for Distributed and Deep Neural Networks over the Cloud-to-Things Continuum
Deployment-oriented early-exit toolkit for PyTorch vision models, with per-head calibration, fair benchmarks, and staged inference.
This repository is dedicated to self-learning about early exit papers, including relevant code and documentation.
제3회 미래 자동차산업 아이디어 공모전
To associate your repository with the branchynet topic, visit your repo's landing page and select "manage topics."