Lamyaa Zayed (Lamyaa-Zayed)

Lamyaa-Zayed

Geek Repo

Company:Brightskies Technologies

Location:Maadi, Cairo, Egypt

Home Page:https://www.linkedin.com/in/lamyaa-zayed-705293103/

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Lamyaa Zayed's repositories

HyperparameterTuning-Script-using-Kerastuner-and-Tensorboard

Hyperparameter Tuning Script using Keras_tuner and Tensorboard

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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hands-on-reinforcement-learning

Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽

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ArabicDialectsClassification

Create Flask App to detect and multi-class classify the Arabic dialects.

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Kaggle-competition-Arabic-Hand-Letters-Predictions

You're given images of handwritten Arabic characters and you're required to recognize the character.

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Airbnb_KaggleCompetition

Target is to predict which country a new user's first booking destination will be. Dataset Link on Kaggle: https://www.kaggle.com/c/airbnb-recruiting-new-user-bookings/data

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Bayesian-Inference-and-Modeling-using-Factor-Graphs

Develop Bayesian inference and modeling using Factor Graphs for Probabilistic machine learning user interface to facilitate building new graph models for front end developers designed with WPF by C# and Infra.net languages using Microsoft Visual Studio.

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Problem-Solving-Training

Problem Solving Training for computer science students.

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semantic-segmentation

semantic segmentation project on kitti data set as part of ITI AI-Pro internship graduation project

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NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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Recommender-systems-Algorithms

Recommender Systems Project contains content based, user based, item based, collaborative filtering and many similarity matrices.

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Numerical-Optimization-for-Machine-Learning

implementation for different optimizations protocols: Batch Gradient Descent, Mini-Batch Gradient Descent, Stochastic Gradient Descent, Momentum Gradient Descent, NAG Algorithm, Adagrad Algorithm, RMS-Prop Algorithm, Adam Algorithm.

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Udacity-Introduction-to-Computer-Vision

Udacity Introduction to Computer Vision codes

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Reinforcement-Learning-with-Tensorflow-Keras

Reinforcement Learning implementation with Tensor flow Keras

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opencv-course

Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

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Algorithms

Workshop Algorithms

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NLP

NLP Projects

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RX-with-WPF

making timer with RX.

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WPF-CS-Drag-and-Drop_Rx

Creating a Drag and Drop demo by WPF C# program on Visual Studio 2019, making shapes which drags and couldn't drop in any position except one big rectangle.

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Plotly-Dashboard-Visualization-Project

Creating Dashboard visualization project for Students' Performance Levels.

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MVVM-CS-WPF-UI-Proj

Creating UI by WPF designed by MVVM to add first and last names of customers then hit submit buttons to appears his full name and its added date but it should insert both names else the submit button will get deactivated.

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MVVM-WPF-CS-Demo

Creating UI by WPF App designed by MVVM architecture with two user controls, when clicking on customer name or its id then immediately his attached order information appears.

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Rating-Competitors-Using-Infer.NET

I show you how to get started with the Infer.NET library by computing ratings for a set of competitors using head-to-head results. A good way to get an idea of probabilistic programming. This demo sets up six competitors (think sports teams): Angels, Bruins, Comets, Demons, Eagles and Flyers.

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official_joke_api

Official Joke API!

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Kaggle-Competition-Dry-Beans-Classification

Evaluation ITI - AI Pro Timeline It's simple. You are given a set of features extracted from the shape of the beans in images and it's required to predict the type of each bean. There are 7 bean types in this dataset.

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Kaggle-Competition_Seoul-Bike-Rental-Prediction

You are provided hourly rental data along with weather data. For this competition, the training set is comprised of the first 20 days of each month, while the test set is the 21th to the end of the month. You must predict the total count of bikes rented during each hour covered by the test set, using only information available prior to the rental period.

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Introduction-to-Computer-Vision

Introduction to Computer Vision (Udacity Course)

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e2e_ds_project

Tutorial repo for an end-to-end Data Science project

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