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patrickbrus's Projects

asteroids icon asteroids

Asteroids Game developed in the Unity Engine in Windows with C# (Open WebGL application)

birds_classifier_api icon birds_classifier_api

This repo contains code for creating a Birds Classifier and an API where the user can upload a birds image and gets the according species of the bird.

cars_classifier_api icon cars_classifier_api

This repository contains the code for creating a small web app where the user can enter an image of a car and gets back a prediction of the trained cars model. The cars model was trained in the Machine Learning Professional Course (can be found in my other repository).

deeplearning icon deeplearning

Introduction to Deep Learning course assignments from CS231N

deployment_of_sentiment_analysis_model icon deployment_of_sentiment_analysis_model

This repository contains the jupyter notebooks and the python code for creating and deploying a sentiment analysis model using Amazons Sagemaker library and the AWS cloud.

docker-react icon docker-react

This repository contains a react app and some dockerfiles. The goal of this project was to create a CI/CD flow using Docker, Travis CI and AWS.

multi-docker icon multi-docker

This repository contains the multi-container application developed during the Docker course taken on Udemy.

multi-kubernetes icon multi-kubernetes

This repository contains a multi-container application that is deployed using Kubernetes. The Kubernetes environment is developed locally and in the end productionized using Google Cloud.

plagiarism_detector icon plagiarism_detector

This repository contains the jupyter notebooks and the python code for creating a plagiarism detector using Amazons Sagemaker library.

retail_data_analytics icon retail_data_analytics

A Machine Learning project for retail data analytics as part of the Machine Learning Engineering Nanodegree Capstone Project from Udacity

transferlearning_and_cmap icon transferlearning_and_cmap

This repository includes two jupyter notebooks. The first one retrains the already pre-trained ResNet-50 using transfer learning in order to classify fruits from the Kaggle 360 Fruits challenge (https://www.kaggle.com/moltean/fruits). The architecute will be adapted in order to compute the class activation maps within the second notebook.

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