Notebooks

This repository contains jupyter-notebooks that refer to my paper summaries.
For the sake of clarity, the notebooks only consist of coding cells.

Overview

Auto-Encoding Variational Bayes
- by Kingma and Welling (2013)
- appeared in ICLR 2014
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
- by Watters et al. (2019)
- work by Deepmind
U-Net: Convolutional Networks for Biomedical Image Segmentation
- by Ronneberger et al. (2015)
- won two challenges at ISBI 2015
Spatial Transformer Networks
- by Jaderberg et al. (2015), work by Deepmind
- appeared in NeurIPS 2015
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
- by Eslami et al. (2016), work by Deepmind
- appeared in NeurIPS 2016
Importance Weighted Autoencoders
- by Burda et al. (2016)
- appeared in ICLR 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
- by Maddison et al. (2016), , work by Deepmind
- appeared in ICLR 2017

Name		Name	Last commit message	Last commit date
Latest commit History 24 Commits
01_Auto_Encoding_Variational_Bayes.ipynb		01_Auto_Encoding_Variational_Bayes.ipynb
02_Spatial_Broadcast_Decoder.ipynb		02_Spatial_Broadcast_Decoder.ipynb
03_U-Net.ipynb		03_U-Net.ipynb
04_Spatial_Transformer_Networks.ipynb		04_Spatial_Transformer_Networks.ipynb
05_Attend-Infer-Repeat.ipynb		05_Attend-Infer-Repeat.ipynb
06_Importance_Weighted_Autoencoders.ipynb		06_Importance_Weighted_Autoencoders.ipynb
07_Concrete_Distribution.ipynb		07_Concrete_Distribution.ipynb
LICENSE		LICENSE
README.md		README.md