hidasib

GRU4Rec

GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

GRU4Rec_PyTorch_Official

Official implementation of the GRU4Rec algorithm in PyTorch

GRU4Rec_Tensorflow_Official

Official implementation of the GRU4Rec algorithm in Tensorflow

gru4rec_third_party_comparison

Comparison of popular unofficial third-party implementations to the original

recsys_eval_flaws

Experiments of the "Widespread flaws in offline evaluation of recommender systems" paper

hidasib.github.io

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.