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Train AI to take over the world...just searching for the right loss value...
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Train AI to take over the world...just searching for the right loss value...

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M-106/README.md

M-160

Deep Learning | Computer Vision | Generative AI





My Skills         Showroom         Stats         Connect with me        



Hello there, I'm Tobia or M-106 here.
I'm an AI Engineer / ML Engineer currently making my master in the field of AI in the Offenburg University of Applied Sciences where I already made my Bachelor of Science in the field of AI.
My world is classical Data Science (Visualizations, Data Analyzation, Classic Machine Learning Algorithms) and I feel even more comfortable in Deep Learning with a specialization towards Computer Vision.
I see my strength in my motivation to solve difficult tasks and in documenting my work in detail.

So, enjoy exploring my profile, and feel free to connect! 😄





In Short

  • Data Processing
  • Data Visualization
  • Data Analyzation
  • Classical Machine Learning
    • SVM, Naive Bayes, ...
    • Scikit Learn
  • Deep Learning (Neural Networks)
    • 2D Computer Vision
    • 3D Computer Vision
    • Reinforcement Learning
    • Natural Language Processing
    • State of the Art Techniques
    • PyTorch
    • TensorFlow



Example Projects


Readme Card Readme Card Readme Card Readme Card Readme Card Readme Card



PyPI Projects

Name Tag Description PyPI Repo
pythonic-xray Utility Statistics of Python Packages Link GitHub
simple-genetic-algorithm Optimization Genetic Algorithm for Optimization Link GitHub
runtime-guard Utility Runtime Monitoring and Emergent Stopping Link GitHub
img-phy-sim Simulation 2D Ray-Tracing on Images Link GitHub



My Exam Work for my Bachelor of Science


Grade: 1,7
Click me and read me 🚀







Here i will provide some pictures and videos. I think it's interesting to see something 😊




Reinforcement Learning - OpenAI gym - CartPole


deep_q_reinforcement_learning_agent.mp4




Computer Vision - Pix2Pix learning complex reflexions - First Epoch


Video Explanation:

  • Left = Input
  • Middle = Prediction
  • Right = Target Output
pix2pix_train_first_epoch_learn_reflexions_compressed.mp4




Python Lair


python_lair_02.mp4

python_lair_03.mp4




2D Bomberman


bomberman_01.mp4

bomberman_02_.mp4




Falling Champion


falling_champion_01.mp4

falling_champion_02.mp4

falling_champion_03.mp4




YouTube Bot


youtube_bot_01.mp4

youtube_bot_2.mp4




Pi Collision


Simulationsprogramm.mp4




Text Adventure


text_adventure_show.mp4












I hope you liked my profile and maybe you want to connect with me :)
Every Icon stands for a different platform and a click on it leads you to their website. In addition to that, every icon has a tooltip with my username in it -> so hover the icon and stay there for a second to see my data.




M-106 | Kaggle         M-106 | LinkedIn         M-106 | Flickr         M-106 | Discord         M-106 | Replit         




Special thanks to Elisa Wilkes for the creation of the illustrations


Pinned Loading

  1. Wer-hat-gebohrt Wer-hat-gebohrt Public

    Es geht darum, dass der Algorithmus 2 Bohrende unterschieden soll und zwar im Live-Betrieb. Hierfür bohren beide mindestends ein Mal und anschließend bohrt einer von Beiden und ein MachineLearning-…

    Jupyter Notebook

  2. Job-Posts-Similarity Job-Posts-Similarity Public

    In this project we will create algorithms to set the similarity of Job-Posts.

    Jupyter Notebook 1

  3. Python_Lair Python_Lair Public

    This is a Block Based Python IDE. The GUI is with PyQt5.

    Python

  4. YouTube-Bot YouTube-Bot Public

    Developement of a YouTube Bot, which helps out with advertising.

    Python

  5. Chess Chess Public

    Python

  6. Pi_Collisions Pi_Collisions Public

    Java