Recommendation system in TensorFlow
Project description
Tophat
Tophat is a factorization-based recommendation engine built using TensorFlow.
Installation
Installing from PyPi:
pip install top-hat
Installing the master branch from github in development mode, run:
git clone git@github.com:gilt/tophat.git
cd tophat
pip install -e .
Note that by default, installation assumes you already have TensorFlow installed. However, if you need, you can include the installation of TensorFlow in the setup extras as following: (choose the one that's right for you)
# CPU pypi pip install top-hat[tf] # GPU pypi pip install top-hat[tf_gpu] # CPU local dev pip install -e .[tf] # GPU local dev pip install -e .[tf_gpu]
Docker Images
There are two provided Dockerfiles: Dockerfile and Dockerfile.gpu. The latter gpu variant requires nvidia-docker.
Tests
There are some minimal tests in tests/ which can all be run using pytest or python setup.py test.
Related Projects
The initial motivation behind tophat was to port over LightFM and Spotlight into TensorFlow.
There also are many other amazing recommender systems out there -- so choose the one that is right for your case.
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