Bilal Chehab's repositories
TensorFlow-2.0-Customer-Churn
Sample for customer churn prediction using tf 2.0
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.
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Dog-Breed-Classifier
pytorch resnet50 transfer learning
GAN---Face-Generation
A GAN that learns to generate celebrity faces
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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
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NET-Assembly-Hasher
Generates a unique hash for the dll which allows to version the dll ONLY if the code changed
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Sports-Tournament-Sample
A sample of calculating the MVP of a tournament with multiple sports involved (a plugin for every sport)
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