deep-learning-in-pytorch

This repository contains code for my projects made using PyTorch

Models:

• Cycle GAN
  • Implementation of Cycle GAN architecture.
• Diffusion Model
  • Implementation of simple Diffusion Model.
• GNN Mesh Classifier
  • Learning about Graph Neural Networks by building mesh classifier with Torch Geometric.
• Neural ODE for MNIST Classification
  • Learning about Neural Ordinary Differential Equations by building simple MNIST Classifier using TorchDyn.
• WaveNet and Melody Generator
  • Implementation of WaveNet architecture along with MIDI Melody Generator which was a project for my BEng thesis.
• GPT
  • Implementation of GPT-1 to understand attention mechanism a little bit better.
• Brain Tumor Classification
  • Brain Tumor Classification project using pretrained EfficientNetB4 as feature extractor and training classifier from scratch on top of it.
• Hyena Operator
  • Implementation of Hyena Operator for long range sequences. This paper really interested me and maybe I'll try to build a music generator in style of MusicLM but with this layer instead of self-attention blocks.
• Wasserstein GAN
  • Implementation of Wasserstein GAN architecture with gradient penalty.