An implementation of the Grammar of Graphics in R
Vector database for scalable similarity search and AI applications
High-Performance Serverless event and data processing platform
Simple and distributed Machine Learning
.NET Standard bindings for Google's TensorFlow for developing models
Scalable and Flexible Gradient Boosting
GPU DataFrame Library
A framework for real-life data science
Graphical User Interface Toolkit for Python with minimal dependencies
Library providing end-to-end GPU-accelerated recommender systems
Data science spreadsheet with Python & SQL
Build data pipelines, the easy way
Detecting silent model failure. NannyML estimates performance
Streamline your ML workflow
Data science on data without acquiring a copy
Serve machine learning models within a Docker container
Train machine learning models within Docker containers
Always know what to expect from your data
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
The data science OS
Slides and Jupyter notebooks for the Deep Learning lectures
For building machine learning (ML) workflows and pipelines on AWS