Portfolio

Below you will find a list of private portfolio projects which have taken place independently of my publications and professional projects.

 

Computer Vision and Deep Learning:

  • Skin Cancer Detector (since 2019) [code]
    • Tool for the medical analysis of moles.
  • Deploy a Sentiment Analysis Model (2019) [code]
    • Train and deploy a PyTorch sentiment analysis model using Amazon SageMaker on AWS
  • Generate Faces (2019) [code]
    • Deep Convolutional Generative Adversarial Networks to generate faces of non-existing celebrities
  • Generate TV Scripts (2019) [code]
    • Build a recurrent neural network with PyTorch to process text. Use it to generate new episodes of your favorite TV show, based on old scripts
  • Dog Breed Classifier (2019) [code]
    • Design and train a convolutional neural network to analyze images of dogs and correctly identify their breeds
  • Predicting Bike-Sharing Patterns (2018)
    • Predict number of bikes required at a given point using a bike sharing data set
  • Vehicle Detection (2018) [code]
    • Detection of vehicles in images and video sequences.
  • Deep Learning based Driving Behavioral Cloning (2018) [code] [demovideo]
    • Program for imitating the driving behavior of a person.
  • Traffic Sign Detection and Classification (2018) [code]
    • Deep Learning Approach for image based traffic sign detection.
  • Advanced Lane Line Detection (2018) [code] [demovideo]
    • Extraction of lane lines in images and video sequences.
  • Simple Lane Line Detection (2018) [code]
    • Extraction of lane lines in images and video sequences.