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Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
A framework for large scale recommendation algorithms.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
A List of Recommender Systems and Resources
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Best Practices on Recommendation Systems
PECOS - Prediction for Enormous and Correlated Spaces
Language Model GRU with Python and Theano
Word2Vec 400M Tweets Embedding model based on https://www.fredericgodin.com/software/
Implementation of Adaptive Co-attention Network for Named Entity Recognition in Tweets in AAAI2018.
A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.
Dual LSTM Encoder for Dialog Response Generation
wikiwho / WikiWho
Forked from maribelacosta/wikiwhoAn algorithm to compute token-level provenance and changes for Wiki revisioned content. Tested at +95% accuracy for EN.Wikipedia.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
This repo will not not be updated anymore, please see https://github.com/wikiwho/WikiWho from now on.
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
scikit-learn: machine learning in Python