Skip to content
View edgaromons's full-sized avatar
  • Energy 2050 Group, Department of Mechanical Engineering, The University of Sheffield, UK
  • Sheffield, England, UK
  • LinkedIn in/edgar-iyasele-561355267

Block or report edgaromons

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. solar-and-wind-resource-forecasting solar-and-wind-resource-forecasting Public

    In this notebook, we show an example of how to build a Cloud Based Deep Neural Network Wind Speed and Global Horizontal Irradiance Forecasting Platform for Renewable Energy Resource Management

    Jupyter Notebook 1

  2. Federated-and-Deep-Learning-Based-Intrusion-Detection-System-for-Internet-of-Things Federated-and-Deep-Learning-Based-Intrusion-Detection-System-for-Internet-of-Things Public

    In this Notebook, we show how to build a Federated and Deep Learning Based Intrusion Detection System for Internet of Things (IoT). Application is also included.

    Jupyter Notebook 1

  3. FedML-DL FedML-DL Public

    Forked from FedML-AI/FedML

    FedML - The federated learning and distributed training library enabling machine learning anywhere at any scale. It's backed by FedML, Inc (https://FedML.ai). Supporting large-scale geo-distributed…

    Python

  4. DL-Models-Application-in-Telecommunications DL-Models-Application-in-Telecommunications Public

    In this notebook, we show an example of apply DL Models in Telecommunication: Predicting the Quality of Transmission of Unestablished Optical Network Channels Using Deep Learning Models

    Jupyter Notebook

  5. DL-and-Data-Augmentation-Based-Computer-Vision-Technology-for-Detecting-Wind-Power-Turbines-Systems- DL-and-Data-Augmentation-Based-Computer-Vision-Technology-for-Detecting-Wind-Power-Turbines-Systems- Public

    In this Notebook, we show how to build a Deep Learning and Data Augmentation-Based Computer Vision Technology for Detecting Wind Power Turbines Systems from Satellite Images

    Jupyter Notebook

  6. DL-and-ML-Models-For-Food-Calorie-Estimation DL-and-ML-Models-For-Food-Calorie-Estimation Public

    In this notebook, we show how to build a Deep Learning Based Pre-trained Image Detection Architecture and Machine Learning Algorithms for Food Image Calorie Estimation

    Jupyter Notebook