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Name: Balázs Hidasi
Type: User
Company: Gravity R&D
Twitter: balazshidasi
Location: Hungary
Blog: http://hidasi.eu
Name: Balázs Hidasi
Type: User
Company: Gravity R&D
Twitter: balazshidasi
Location: Hungary
Blog: http://hidasi.eu
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.
Official implementation of the GRU4Rec algorithm in PyTorch
Official implementation of the GRU4Rec algorithm in Tensorflow
Comparison of popular unofficial third-party implementations to the original
Experiments of the "Widespread flaws in offline evaluation of recommender systems" paper
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.
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