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A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms

Tensorflow implementation of DeepFM for CTR prediction.

A Configurable Recommender Systems Simulation Platform

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Author's PyTorch implementation of BCQ for continuous and discrete actions

Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels

TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.

Top2Vec learns jointly embedded topic, document and word vectors.

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.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

DaNLP is a repository for Natural Language Processing resources for the Danish Language.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.

A library of metrics for evaluating recommender systems

Variational autoencoders for collaborative filtering

Uplift modeling and causal inference with machine learning algorithms

Code from the book Machine Learning Systems

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

Deep Learning for humans

Jupyter metapackage for installation and documentation

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

Examples and libraries for "Natural Language Processing in Action" book

🤘Lemmy is a lemmatizer for Danish 🇩🇰 and Swedish 🇸🇪

NLP reading group at the University of Arizona

💫 Industrial-strength Natural Language Processing (NLP) in Python