These are my implementations of some interesting papers in the machine learning community. The following papers are implemented (work in progress):
- Attention Is All You Need
- Colorful Image Colorization
- Densely Connected Convolutional Network (see DenseCNN)
- Deep Ensembles: A Loss Landscape Perspective (see deep_ensembles.py)
- pix2pix: Image-to-Image Translation with Conditional Adversarial Networks
- Scaling the Scattering Transform: Deep Hybrid Network
- Self-Normalizing Networks
- Training Generative Adversarial Networks by Solving Ordinary Differential Equations (see ODE-GAN for Mixture of Gaussians)
- Effective Approaches to Attention-based Neural Machine Translation