GAMMLI

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

A unified, comprehensive and efficient recommendation library

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Pytorch domain library for recommendation systems

A collection of research papers and software related to explainability in graph machine learning.

Interpretability and explainability of data and machine learning models

Model explainability that works seamlessly with ? transformers. Explain your transformers model in just 2 lines of code.

A TensorFlow recommendation algorithm and framework in Python.

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.