Name: Yousef Mo'men
Type: User
Company: Cairo University
Bio: AI Engineer with experience in Machine Learning. Expertise in building and deploying ML models, data cleaning and preprocessing, and feature en
Location: Cairo, Egypt
Yousef Mo'men's Projects
22011
Implementation for a transformer model for Sign Language detection competition in kaggle
customer care chatbot made with Rasa Open Source.
Trying diffrient dimensionality reduction technqies on the mnist
Data Structure Final Project
The data collected from factory controllers can be clustered into different states
FIRST CODE
Implementation for Generative Adversarial Imputation Networks for handling missing data
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Unified AI
Lively_Vectors (LV) is a Matlab toolbox for analysing multivariate data. It can be used to build full pipelines from cleaning data to classification and statistical analyses.
Coursera Machine Learning Homework Programming Language: Octave Professor: Andrew Ng
ML4Scinnce test for google summer of code
ML4Science test for google summer of code
Classification on mnist
ensemble learing for mnist classification
applying dimensionality reduction on mnist using momentums then using a KNN classifier
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)