Implementations of various machine learning algorithms.
The repo includes the following algorithms:
- Naive Bayes
- Fast Gradient Sign Attack (FGSM)
[Paper: Explaining and Harnessing Adversarial Examples] - Generative Adversarial Network (GAN)
[Paper: Generative Adversarial Nets] - Conditional GAN
[Paper: Conditional Generative Adversarial Nets] - Progressive Neural Network (PNN)
[Paper: Progressive Neural Networks] - Neural Style Transfer
[Paper: A Neural Algorithm of Artistic Style] - Variational Autoencoder (VAE)
[Paper: Auto-Encoding Variational Bayes] - Model Compression
[Paper: BinaryConnect: Training Deep Neural Networks with binary weights during propagations] - Neural Machine Translation
[Paper: Sequence to Sequence Learning with Neural Networks]