Skip to content
View Emperor-WS's full-sized avatar

Block or report Emperor-WS

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
Emperor-WS/README.md

Hi 👋, I'm Waleed Salah Eldin

Artificial Intelligence Engineer

Connect with me:

https://www.linkedin.com/in/waleed-salah-eldin-6880041a5/

Languages and Tools:

cplusplus csharp git opencv pandas python pytorch scikit_learn tensorflow

 emperor-ws

emperor-ws

Pinned Loading

  1. PyEmber PyEmber Public

    An Educational Framework Based on PyTorch for Deep Learning Education and Exploration

    Python 11 1

  2. Self-Driving-Race-Car-Simulation Self-Driving-Race-Car-Simulation Public

    this project is based on [World Models By David Ha, Jürgen Schmidhuber research paper](https://worldmodels.github.io/)

    Python

  3. Self-learning-half-cheetah Self-learning-half-cheetah Public

    The project is based on Augmented Random Search (ARS) to build a half cheetah that learns to walk, the project was based on [a paper called Simple random search provides a competitive approach to r…

    Python

  4. Stock-Price-Prediction Stock-Price-Prediction Public

    The project is based on real Google stock price dataset from 2012 to 2017 and by using Deep Learning I made an algorithm that uses both RNN and LSTM to predict the stock price of google for January…

    Python

  5. Fraud-Detection Fraud-Detection Public

    The project is based on a dataset for a bank that contains information on customers applying for an advanced credit card and by using Self Organizing map and Artificial Neural Network I was able to…

    Python

  6. Movie-Recommendation Movie-Recommendation Public

    The project is based on a dataset of 100 thousand of movies rating i used 2 different kinds of Deep Learning algorithms to be able to predict the ratings of the movies the customers didn’t watch. A…

    Python