ertis-research/faas-ddnn-continuum ertis-research/faas-ddnn-continuum

  • Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created about 2 years ago
  • Updated about 1 year ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
ertis-research/faas-ddnn-continuum
github

ertis-research

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Functions as a Service for Distributed Deep Neural Network inference over the Cloud-to-Things continuum

More Repositories

1

kafka-ml

Kafka-ML: connecting the data stream with ML/AI frameworks (now TensorFlow and PyTorch!)
Python
161
star
2

opentwins

Innovative open-source platform that specializes in developing next-gen compositional digital twins
136
star
3

flightradar24-to-kafka-to-node-red-worldmap

Docker stack to get the flight information, send it to Apache Kafka and visualize in Node-RED worldmap
JavaScript
9
star
4

PyTorchKafkaDataset

PyTorch Kafka Dataset: A definition of a dataset to get training data from Kafka.
Python
9
star
5

lwm2m-blockchain

In this repository, the LWM2M protocol is integrated with blockchain to improve reliability and auditability. This integration also provides a secure ledger to store critical information like anomalies. The Java implementation of LWM2M, Leshan, and Ethereum testnet Ropsten have been be used for this purpose.
Jupyter Notebook
9
star
6

DDNN

A low-latency and fault-tolerant framework for Distributed and Deep Neural Networks over the Cloud-to-Things Continuum
Python
8
star
7

shm-wind-turbines

Structural Health Monitoring of Wind Turbines
Java
7
star
8

ethereum-fundamentals

JavaScript
7
star
9

grafana-panel-unity

TypeScript
6
star
10

grafana-panel-what-if

This Grafana panel is a powerful tool for conducting What-If predictive analysis with Artificial Intelligence models, with a special focus on Machine Learning
TypeScript
6
star
11

ActiveNetworkManagementMAS

Maintaining the energy flexibility of a smart grid through deep learning and deep reinforcement learning
Python
6
star
12

ConcreteDamageDetection

Reinforced Concrete Bridge Defect Detection with Convolutional Neural Networks
Python
4
star
13

grafana-app-opentwins

TypeScript
3
star
14

pollen-analysis-app

Web application for the detection and counting of pollen particles
TypeScript
3
star
15

pollen-classifier-container

Python
3
star
16

extended-api-for-eclipse-ditto

TypeScript
2
star
17

FMI-support-for-digital-twins-platform

Python
2
star
18

kafka-ml-seminar

Seminar Course of Kafka-ML
Jupyter Notebook
1
star
19

rpi-cluster

FogPi Cluster project
Shell
1
star
20

error-detection-for-eclipse-hono-with-kafka-ml

Python
1
star
21

MultiAgentSystem

Jupyter Notebook
1
star
22

Helm-charts

ERTIS Research group Helm Chart repository
Shell
1
star
23

images

Dockerfile
1
star
24

reliable-iot

From the Edge to the Cloud: enabling reliable IoT applications
Python
1
star
25

kafka-ml-to-eclipse-ditto

Python
1
star