Machine Learning

Implementations of various machine learning algorithms.
The repo includes the following algorithms:

1. Naive Bayes
2. Fast Gradient Sign Attack (FGSM)
   [Paper: Explaining and Harnessing Adversarial Examples]
3. Generative Adversarial Network (GAN)
   [Paper: Generative Adversarial Nets]
4. Conditional GAN
   [Paper: Conditional Generative Adversarial Nets]
5. Progressive Neural Network (PNN)
   [Paper: Progressive Neural Networks]
6. Neural Style Transfer
   [Paper: A Neural Algorithm of Artistic Style]
7. Variational Autoencoder (VAE)
   [Paper: Auto-Encoding Variational Bayes]
8. Model Compression
   [Paper: BinaryConnect: Training Deep Neural Networks with binary weights during propagations]
9. Neural Machine Translation
   [Paper: Sequence to Sequence Learning with Neural Networks]