Ahmed Raafat (A-Raafat)

A-Raafat

Geek Repo

Location:Giza-Egypt

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Ahmed Raafat's repositories

Torcs---Reinforcement-Learning-using-Q-Learning

Lane keeping assistant using Reinforcement learning

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DQN

Deep-Q Network on OpenAI lunarlander-v2

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facenet

Face recognition using Tensorflow

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CVND_Exercises

Exercise notebooks for CVND.

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d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

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DDPG-bipedal

DDPG implementation on BipedalWalker-v2

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deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

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Detection-and-visualization-of-abnormality-in-chest-radiographs-using-modality-specific-CNNs

Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles

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facexlib

FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.

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imageclassification

Deep Learning: Image classification, feature visualization and transfer learning with Keras

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ml-agents

Unity Machine Learning Agents Toolkit

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ML-YouTube-Courses

📺 A place to discover the latest machine learning courses on YouTube.

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mlmodels

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

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notebooks

Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos.

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PHPTravels-Pixelogic

Assignment for Pixelogic media

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Pneumothorax-Segmenation-kaggle-competition

This is a solution and insights for kaggle competition *** Pneumothorax Segmentation***

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reinforcement_learning_course_materials

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

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see-inside-cnn

Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras

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Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

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