Turns Data and AI algorithms into production-ready web applications in no time.

Best Practices on Recommendation Systems

Wasm powered Jupyter running in the browser 💡

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

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

A unified framework for machine learning with time series

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Visualize & track the 2020 COVID-19 pandemic by country.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Deep recommender models using PyTorch.

Deep learning for recommender systems

A library of extension and helper modules for Python's data analysis and machine learning libraries.

A Python scikit for building and analyzing recommender systems

⛔️ DEPRECATED brew: Python Ensemble Learning API

Lime: Explaining the predictions of any machine learning classifier

The Kalibr visual-inertial calibration toolbox

A scikit-learn compatible neural network library that wraps PyTorch