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Collection of Deep Learning Projects

Highlights

  • Implementing Papers: Turning top-tier research papers into working models
  • Disaster Tweets: Hugging Face word-embeddings, PyTorch model, and thorough model training diagnostics
  • Read Aloud: Screenshot to Speech tool - hear how your writing sounds in your own voice

Projects

  • Car Object Detection: PyTorch object detection model
  • Flappy Bird Bot: Keras CNN and python utility functions for creating training dataset from web-based game
  • Genre Classification: Hugging Face word-embeddings, PyTorch multi-label classification model, thorough model training diagnostics
  • MNIST: TensorFlow CNN and MLP models, training mnist from scratch using only numpy
  • Mini ImageNet: Keras multi-class classification model on ten class subset of ImageNet
  • Titanic: One of my first ML projects, very basic TensorFlow. Mostly for the nostalgia.

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A collection of all my deep learning personal projects

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