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deploying-a-sentiment-analysis-model

This project uses AWS SageMaker to build and deploy a sentiment analysis model(RNN) that infers whether a movie review is POSITIVE or NEGATIVE. It makes use of S3, lambda , API Gateway, and PyTorch for building the model.

dog-breed-classifier

pytorch resnet50 transfer learning

gan---face-generation

A GAN that learns to generate celebrity faces

generate-tv-scripts

RNN(LSTM) that learns from seinfield episodes, and learns to generate new content (text).

mytest

A test App done with Asp.net core and Angular 8.2

net-assembly-hasher

Generates a unique hash for the dll which allows to version the dll ONLY if the code changed

powerdiary.testapp

scratch

sports-tournament-sample

A sample of calculating the MVP of a tournament with multiple sports involved (a plugin for every sport)

tensorflow-2.0-customer-churn

Sample for customer churn prediction using tf 2.0