Name: Janina Alica Mattes
Type: User
Bio: Limitless learner.
Student of a M.Sc. Computer Science in Munich, Germany. Interests in AI, Robotics, VR/AR.
Location: Europe
Blog: https://janinamattes.github.io
Janina Alica Mattes's Projects
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Build a Blockchain enabled health and fitness app with Android and Kubernetes
Angular components for scaffolding online store
ARCore SDK for Android Studio
:ice_cream: In this project a web application is created under the use of common web frameworks such as asp.NET and C#.
Machine Learning Controlled Explorer Drone
in progress ...
A curated list of awesome computer vision resources
Implement model-based algorithms, such as Monte Carlo Tree Search (MCTS) or minimax, to construct a search tree and explore the game's state space. Evaluate and compare the performance of model-based and model-free algorithms (Q-learning, PPO) in terms of efficiency, optimality, and adaptability to different game scenarios.
āØ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
An awesome README template to jumpstart your projects!
Samples demonstrating the use of Blockchain with IBM Watson IoT
Master programming by recreating your favorite technologies from scratch.
Example projects and sample code featured in Clojure Programming (1st ed.) from O'Reilly
:email: Contact system developed in Java under the use of the GWT framework, deployd on the Google App Engine
A flask template with Bootstrap 4, asset bundling+minification with webpack, starter templates, and registration/authentication. For use with cookiecutter.
Convolutional Neural Networks
Mixed set of projects ranging from health data analysis to classical object detection for street signs.
Cheat Sheets
Learning and replicating famous deep learning models for computer vision tasks
Detectron2 for Document Layout Analysis
Various docker files used in my projects.
Material progress circle around any FloatingActionButton. 100% Guidelines.
Used to integrate Android apps with Facebook Platform.