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Sven Gerlach's Projects

everything-curl icon everything-curl

The book documenting the curl project, the curl tool, libcurl and everything related to this.

extaber-api icon extaber-api

This back-end is entirely based on django, django rest framework, and PostgreSQL. It features many-to-many relationships, 5 models, and 19 views.

extaber-client icon extaber-client

A single-page application for publishing, reading, liking, and commenting on independent articles by investigative journalists.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

machine_learning icon machine_learning

Machine learning folder, tightly associated with book "Hands on Machine Learning"

secure-my-spot-api icon secure-my-spot-api

Dockerised Django / PostgreSQL back-end application, offering users to locate, reserve, and pay for on-street parking in New York City.

secure-my-spot-client icon secure-my-spot-client

Dockerised JavaScript / TypeScript front-end application based on the React library, offering users to locate, reserve, and pay for on-street parking in New York City.

tic-tac-toe-api icon tic-tac-toe-api

A NestJS API that exposes a few endpoints for the Tic Tac Toe web app.

tic-tac-toe-client icon tic-tac-toe-client

This is a browser-based single page application of the famous tic-tac-toe game. It includes CRUDs to a server that stores user details. The game offers a number of user experiences, including adjusting the turn order, the player symbol, and playing against an easy, hard, and impossible-to-beat algorithm (minimax algorithm, no alpha/beta pruning).

workout-tracker-api icon workout-tracker-api

Back-end app to a free-weights based work-out tracker, using Express for route management and Mongoose / MongoDB for database management.

workout-tracker-client icon workout-tracker-client

Front-end app to a free-weights based work-out tracker, allowing the user to record, save, and evaluate their weight training performance statically and serially.

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