CS222 final project

This repository contains an implementation of learned Bloom filter and sandwiched learned Bloom filter introduced in recent work. Please refer to LBF.py and SLBF.py for the implementations of the filters. Refer to phishing_RNN.ipynb for an application of these filters on real dataset.

1. Make sure python3 is correctly installed locally. Version # above 3.6.1, ideally.
2. Install Pytorch and relative dependencies locally:
   • (Mac) conda install pytorch torchvision -c pytorch
   • (Windows) conda install pytorch -c pytorch; pip3 install torchvision