An implementation of the Grammar of Graphics in R
Vector database for scalable similarity search and AI applications
Data science on data without acquiring a copy
High-Performance Serverless event and data processing platform
Graphical User Interface Toolkit for Python with minimal dependencies
Library providing end-to-end GPU-accelerated recommender systems
Scalable and Flexible Gradient Boosting
Streamline your ML workflow
GPU DataFrame Library
A framework for real-life data science
Simple and distributed Machine Learning
Data science spreadsheet with Python & SQL
Detecting silent model failure. NannyML estimates performance
Build data pipelines, the easy way
Serve machine learning models within a Docker container
Train machine learning models within Docker containers
Always know what to expect from your data
.NET Standard bindings for Google's TensorFlow for developing models
Project structure for doing and sharing data science work
Automatic extraction of relevant features from time series
Best practices on recommendation systems
The Go kernel for Jupyter notebooks and nteract
Slides and Jupyter notebooks for the Deep Learning lectures
The data science OS
Linux for content creation, web scraping, coding, and data analysis.