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Gehad Essam's Projects

clustering_customer_segments icon clustering_customer_segments

escribe the variation in the different types of customers that a wholesale distributor interacts with. Doing so would equip the distributor with insight into how to best structure their delivery service to meet the needs of each customer

deepdream_tensorflow icon deepdream_tensorflow

uses google tensorflow trained neural net inception to apply deep dream to a sample image

gaussian_mm icon gaussian_mm

This is a model on Gaussian Mixture Models, they are probability distributions that consist of multiple Gaussian distributions.

generate_music_tensorflow icon generate_music_tensorflow

Use TensorFlow to generate short sequences of music with a [Restricted Boltzmann Machine](http://deeplearning4j.org/restrictedboltzmannmachine.html).

generative_models_and_dtm icon generative_models_and_dtm

this is a project for testing various text mining and machine learning technologies. it uses generative models and document word matrix

gfpgan icon gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

hairclip icon hairclip

HairCLIP: Design Your Hair by Text and Reference Image

lstm_neuralnet icon lstm_neuralnet

This is an LSTM (long short term memory) network built using just numpy. LSTM's are an improvement to recurrent networks, able to remember long range dependencies.

mask2former icon mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

omnizart icon omnizart

Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.

opendr icon opendr

A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning

predicting_boston_houses_prices icon predicting_boston_houses_prices

I've come across the Boston Housing dataset which contains aggregated data on various features for houses in Greater Boston communities, including the median value of homes for each of those areas. This code will build an optimal model based on a statistical analysis with the tools available. This model will then be used to estimate the best selling price for your clients' homes.

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