Train, evaluate, and optimize implicit feedback-based recommender systems.

Python codes for influential instance estimation

Implementation of various algorithms

Functional gradient boosting based on residual network perception

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This repository is test code for comparison of several deep learning frameworks.

Poincaré Embedding (unofficial)

Chainer extension of training curves visualizer

A higher-order extension of Skipgram with negative sampling.

An implementation of VAEGAN (variational autoencoder + generative adversarial network).