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k-karna/README.md

Hi there! 👋

I am Konark Karna, a Machine Learning Engineer 🇮🇳 🇬🇧 🇸🇪

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🔭 I’m continuously improving on my knowledge base and skills with everything AI from literature - (Deep) Reinforcement Learning, Computer Vision, Generative Models, Self-Supervised Learning, Human-Machine Interaction or Autonomous Systems
🌱 I’m currently learning Probabilistic Artificial Intelligence 🤖 from the Andreas Krause's book
✍️ I’m looking forward to a Research / Engineering position 🤞
📚: Read my notes on DL / SSL / CV / RL here : k-karna.github.io/notes
🏞️ Tableau vizzies

🧑‍💻 Tech Skills 🛫

Programming Language Libraries/Framework Others
Python NumPy Pandas Tableau
C++ scikit-learn OpenCV LaTeX
MATLAB Tensorflow
PyTorch

Artificial Intelligence Mathematical Background

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  1. img_processing_computer_vision img_processing_computer_vision Public

    Through MATLAB Computer Vision and Image Processing | Mathworks

    MATLAB 10 4

  2. ViT_MLP-Mixer_Comparison ViT_MLP-Mixer_Comparison Public

    Vision Transformer (ViT) and MLP-Mixer Comparison | CIFAR10 | PyTorch

    Jupyter Notebook

  3. motion_planning motion_planning Public

    Autonomous Vehicle (AV) Motion Planning with Reinforcement Learning methods - DQN, PPO | Bayesian Optimization Parameter Search

    Jupyter Notebook 1

  4. VAEs VAEs Public

    Variational AutoEncoder (VAE) variants i.e., VAE, Beta-VAE, Dirichlet-VAE, VQ-VAE implemented on MNIST & CelebA with PyTorch

    Jupyter Notebook

  5. autonomous_vehicle_systems autonomous_vehicle_systems Public

    Autonomous Vehicle System Modelling | Perception | Prediction | Planning |

    Jupyter Notebook 1

  6. reinforcement_learning reinforcement_learning Public

    Reinforcement Learning Specialization | University of Alberta

    Jupyter Notebook 2