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My Portfolio

For a more visually pleasant experience, check out my portfolio at ammalik221.github.io

Contents

  • Neural Network based Projects.(Here)

    • CS-231n: Completed Assignment solutions for CS231n: Convolutional Neural Networks for Visual Recognition, provided by Stanford.(To-Do)
    • Image Style Transfer: Compose one image in the style of another image. This is an optimization technique which uses two images and blends them together, so that output image looks like one image in the style of the other image.
    • Generating Shakespeare-Like Texts: Using LSTMs to generate new text character by character imeplemented in PyTorch, based on Andrej Karpathy's blog post on RNNs
    • EDA on medium.com dataset: Dataset contains all posts tagged AI, Machine Learning, Data Science or Aritificial Intelligence on Medium. Purpose was to identify relations between various features and the number of claps recieved on posts.

  • Mini Projects.(Here)

    • Fashion-MNIST Classification: Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples. Classifying them into classes using CNN's.
    • PyTorch Warm-up: Some basic pytorch exercises based on this repository by Justin Johnson.

  • Data Structures and Algorithms.(Here)

    • Collections
    • Searching and Sorting
    • Maps and Hashing
    • Trees

Tools: Pytorch, scikit-learn, Pandas, Seaborn, Matplotlib, keras

If you liked what you saw, want to have a chat with me about the portfolio, work opportunities, or collaboration, shoot an email at contact@ammaralammalik221.com.