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Best Practices on Recommendation Systems
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Perform data science on data that remains in someone else's server
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Web interface for browsing, search and filtering recent arxiv submissions
Module for automatic summarization of text documents and HTML pages.
Mantl is a modern platform for rapidly deploying globally distributed services
Tensorflow implementation of DeepFM for CTR prediction.
PySpark + Scikit-learn = Sparkit-learn
Approximate Nearest Neighbor Search for Sparse Data in Python!
Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation
Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.
TenforFlow Implementation of Neural Factorization Machine
Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
A command line interface and Python module for accessing the CKAN Action API
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification"
Deep Recommenders with Python: A Python library for building Deep Learning based Recommender Systems
A PyTorch library for hyperbolic deep learning. HypTorch provides hyperbolic neural network layers, optimizers, and utilities for building deep learning models in hyperbolic space, with a focus on …