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📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
[Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky
Hands-on Deep Reinforcement Learning, published by Packt
An introduction to recommendation systems in Python
TensorFlow Exercises - focusing on the comparison with NumPy.
Learn how to setup Cloud projects... for free!