This is a collection of Deep Learning Notebooks mainly made for university seminars.
This is a summary of all the used technologies. For specific technologies you will find in the specific directory.
- Pytorch
- Pytorch Lightning
- Sklearn
- Pandas
- Plotnine
- NetworkX
The notebooks there give an explaination for LIME and variates the method.
This is the report for DPGAN (Xie et al, 2018) where the paper and the most important experiments are replicated.
This is the implementation of the paper "GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models".