RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
How to download and setup RecSys2019_DeepLearning_Evaluation
Open terminal and run command
git clone https://github.com/MaurizioFD/RecSys2019_DeepLearning_Evaluation.git
git clone is used to create a copy or clone of RecSys2019_DeepLearning_Evaluation repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with RecSys2019_DeepLearning_Evaluation https://github.com/MaurizioFD/RecSys2019_DeepLearning_Evaluation/archive/master.zip
Or simply clone RecSys2019_DeepLearning_Evaluation with SSH
[email protected]:MaurizioFD/RecSys2019_DeepLearning_Evaluation.git
If you have some problems with RecSys2019_DeepLearning_Evaluation
You may open issue on RecSys2019_DeepLearning_Evaluation support forum (system) here: https://github.com/MaurizioFD/RecSys2019_DeepLearning_Evaluation/issuesSimilar to RecSys2019_DeepLearning_Evaluation repositories
Here you may see RecSys2019_DeepLearning_Evaluation alternatives and analogs
tensorflow keras TensorFlow-Examples pytorch CNTK data-science-ipython-notebooks Qix handong1587.github.io telegram-list brain.js machine-learning-curriculum caffe machine-learning-for-software-engineers awesome-deep-learning-papers incubator-mxnet lectures cs-video-courses Screenshot-to-code spaCy cheatsheets-ai awesome-deep-learning python-machine-learning-book handson-ml ML-From-Scratch dive-into-machine-learning tfjs tflearn awesome-datascience openpose HanLP