jamie0725 / Deep-Learning

Lab assignments for Deep Learning at UvA.

Deep Learning

About

This repository contains code for projects of MSc. course Deep Learning.

Description

Projects contained in each week are as follows:

1. Week 1:
   • NumPy implementation of Multi-Layer Perceptron (MLP) for image classification.
   • PyTorch implementation of MLP and CNN for image classification.
   • Some theoretical problems.
2. Week 2:
   • PyTorch implementation of Vanilla RNN and LSTM on predicting palindrome.
   • PyTorch implementation of LSTM Language Model for text generation.
   • Some theoretical problems of GraphNN.
3. Week 3:
   • PyTorch implementation of VAE for digit generation.
   • PyTorch implementation of GAN for digit generation.
   • PyTorch implementation of RealNVP (Flow-based models) for digit generation.
   • Some theoretical problems.

Running Environment/Dependencies

• Python 3
• NumPy
• PyTorch
• Matplotlib
• Scipy