Pinned Repositories
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
hidasib.github.io
recsys_eval_flaws
Experiments of the "Widespread flaws in offline evaluation of recommender systems" paper
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.
Theano
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
hidasib's Repositories
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.
hidasib/GRU4Rec_PyTorch_Official
Official implementation of the GRU4Rec algorithm in PyTorch
hidasib/GRU4Rec_Tensorflow_Official
Official implementation of the GRU4Rec algorithm in Tensorflow
hidasib/gru4rec_third_party_comparison
Comparison of popular unofficial third-party implementations to the original
hidasib/recsys_eval_flaws
Experiments of the "Widespread flaws in offline evaluation of recommender systems" paper
hidasib/hidasib.github.io
hidasib/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.